Category Archives: 中國解放軍敘事戰爭

China’s Military Meeting Challenges of Intelligent Warfare with New Concepts

中國軍隊以新概念應對智慧化戰爭挑戰

現代英語:

Preface

The breakthrough achievements of artificial intelligence technology marked by deep learning and its application in various fields have pushed intelligence to a new high in the global wave and become the focus of attention from all parties. In the military field, which has never been willing to lag behind in technological innovation and application, a new revolution is also being actively nurtured. We must accurately grasp the evolution of intelligent warfare and analyze the inner essence of intelligent warfare in order to welcome and control intelligent warfare with a brand new look.

How far are we from intelligent warfare?

Intelligent warfare is a war that is mainly supported by artificial intelligence technology. It has been the dream of people for thousands of years to endow weapon platforms with human intelligence and replace humans in the battlefield. With the powerful impact brought to the world by artificial intelligence systems represented by AlphaGo and Atlas, and the emergence of new combat concepts and new platforms such as swarm warfare and flying aircraft carriers, the door to intelligent warfare seems to be quietly opening.

The law of historical development indicates that intelligent warfare will inevitably enter the battlefield. The progress of science and technology promotes the evolution of weapons and equipment, triggers fundamental changes in military organization, combat methods and military theories, and ultimately forcibly promotes historical changes in the form of war. The arrival of intelligent warfare also conforms to this inevitable law of historical development. Looking back at the evolution of human warfare, every major progress in science and technology has promoted major changes in the military. The invention of black powder has made human warfare evolve to the era of hot weapons. Infantry and cavalry formations were completely wiped out under the line-of-gun warfare. The use of steam engines in the military has made human warfare evolve to the mechanized era, and has further given rise to large-scale mechanized warfare led by armored ships, tanks, and airplanes. The emergence and application of intelligent technology will profoundly change human cognition, war thinking, and combat methods, and once again set off major changes in the military. Intelligent warfare will inevitably enter the war stage.

The development of artificial intelligence technology determines the pace of intelligent warfare. The continuous development and widespread application of artificial intelligence technology have pushed intelligent warfare from chaos to reality. It has begun to sprout, grow gradually, and come to us step by step. To truly enter intelligent warfare, artificial intelligence technology needs to reach four levels. The first level is computational intelligence, which means breaking through the limitations of computing power and storage space to achieve near-real-time computing power and storage capacity, which is far beyond the reach of large computers and huge servers. The widespread application of cloud computing has steadily brought humans to the first level. The second level is perceptual intelligence, which means that the machine can understand what it hears, see what it sees, distinguish what is true, and recognize what it knows clearly, and can communicate directly with people. Natural language understanding, image and graphic recognition, and biometric recognition technologies based on big data have allowed humans to reach the second level. The third level is cognitive intelligence, which means that the machine can understand human thinking, think and reason like humans, and make judgments and decisions like humans. Knowledge mining, knowledge graphs, artificial neural networks, and decision tree technologies driven by deep learning algorithms have allowed humans to strive to move towards the third level. The fourth stage is human-machine fusion enhanced intelligence, which is to combine the perception, reasoning, induction, and learning that humans are good at with the search, calculation, storage, and optimization that machines are good at, to complement each other’s advantages and interact in a two-way closed loop. Virtual reality enhancement technology, brain-like cognitive technology, and brain-like neural network technology are exploring how humans can move towards the fourth stage. When humans stepped onto the second stage, intelligent warfare began to approach us; when we step onto the fourth stage, the era of intelligent warfare will be fully opened.

Self-learning growth accelerates the sudden arrival of intelligent warfare changes. The ability to “learn” is the core ability of artificial intelligence. Once a machine can learn by itself, its learning speed is amazing. Once a machine has the ability to self-learn, it will enter a rapid growth track of “improving intelligence and accelerating evolution” repeatedly. All technical difficulties in the direction of intelligent warfare will be solved as “learning” deepens. The era of intelligent warfare is likely to arrive suddenly in a way that people can’t imagine!

What will intelligent warfare change?

Intelligent warfare will break through the limits of traditional time and space cognition. In intelligent warfare, artificial intelligence technology can collect, calculate, and push all kinds of action information of all forces in combat in real time and in all domains, enabling humans to break through the logical limits of thinking, the physiological limits of senses, and the physical limits of existence, greatly improving the scope of cognition of time and space, and being able to accurately control all actions of all forces in real time, and to achieve rapid jump, gathering, and attack of superior combat resources in multi-dimensional space and multi-dimensional domains. Any space at any time may become a time and space point for winning the war.

Intelligent warfare will reconstruct the relationship between humans and weapons and equipment. With the rapid advancement of intelligent technology and the continuous improvement of the level of intelligence, weapon platforms and combat systems can not only passively and mechanically execute human instructions, but also can, based on deep understanding and deep prediction, super-amplify through the calculation, storage, and query that machines are good at, so as to autonomously and actively perform specific tasks in a certain sense. It can be said that weapon platforms and combat systems can also actively exert human consciousness to a certain extent, even beyond the scope of human cognition, and complete combat tasks autonomously and even creatively according to specific procedures. The distinction between humans and weapons and equipment in the traditional sense has become blurred, and it is even difficult to distinguish whether it is humans or machines that are playing a role. People exclaimed that “humans and weapons and equipment will become a partnership.” Therefore, in intelligent warfare, although humans are still the most important factor in combat effectiveness, the change in the way humans and weapons and equipment are combined has enriched the connotation of combat effectiveness, and the traditional relationship between humans and weapons and equipment will also be reconstructed on this basis.

Intelligent warfare will give rise to the emergence of new combat methods. The epoch-making progress of science and technology will inevitably bring about revolutionary changes in combat methods; major progress in intelligent technology will inevitably bring about an active period of change in combat methods. On the one hand, the continuous emergence of new technologies in the fields of deep cognition, deep learning, deep neural network, etc. driven by computing, data, algorithms, and biology, as well as the cross-integration of achievements in the fields of information, biology, medicine, engineering, manufacturing, etc., will inevitably promote the emergence of new combat methods. On the other hand, the fierce confrontation between intelligent weapon platforms and combat systems will inevitably become the goal and driving force of innovative combat methods. In war, the more intelligent the parts are, the more they become the focus of confrontation. The differences in advantages in terms of space-time cognitive limits, massive information storage and computing capabilities, and neural network organization generation capabilities will bring about new areas of “blinding”, “deafening”, and “paralyzing” combat methods.

Intelligent warfare will incubate a completely new command and control method. The advantages of command and control are the focus of attention in the field of warfare, and intelligent warfare calls for a completely new command and control method. First, human-machine collaborative decision-making has become the main command and decision-making method in intelligent warfare. In previous wars, command and decision-making were all led by commanders, with technical means as auxiliary decision-making. In intelligent warfare, intelligent auxiliary decision-making systems will actively urge or urge commanders to make decisions based on new battlefield situation changes. This is because in the face of massive and rapidly changing battlefield situation information data, the human brain can no longer quickly accommodate and efficiently process it, and human senses can no longer withstand the extraordinary speed of change. In this case, decisions made solely by commanders are likely to be late and useless. Only human-machine collaborative decision-making driven by intelligent decision-making assistance systems can make up for the time and space differences and the machine-computer differences and ensure the command decision-making advantage. Second, brain neural control has become the main command control method in intelligent warfare. In previous wars, commanders issued commands to command and control troops step by step through documents, radios, and telephones in the form of documents or voice. In intelligent warfare, commanders use intelligent brain-like neurons to issue commands to troops through the neural network combat system platform, which reduces the conversion process of command expression forms, shortens the conversion time of commands across media, and is faster and more efficient. When the combat system platform is partially damaged by an attack, this command and control method can autonomously repair or reconstruct the neural network, quickly restore the main function or even all functions, and have stronger anti-attack capabilities.

How should we prepare for intelligent warfare?

In the research and exploration of intelligent warfare, we must not be content to lag behind, but must aim to win future wars and meet the challenges of intelligent warfare with a more proactive attitude, advanced concepts, and positive actions.

Use breakthroughs in intelligent technology to promote the leap in the effectiveness of intelligent combat systems. Although the development of intelligent technology has made great progress in neural network algorithms, intelligent sensing and networking technology, data mining technology, knowledge graph technology, etc., it is still in the weak intelligence stage overall and is far from reaching the advanced stage of strong intelligence. There is still broad room for development in the future. We must strengthen basic research on artificial intelligence, follow the laws of scientific and technological development, scientifically plan the direction of intelligent technology development, select technical breakthroughs, and strengthen key core technologies of artificial intelligence, especially basic research that plays a supporting role. Highlight research on key military technologies. Guided by military needs, we will develop intelligent reconnaissance and perception systems, command and control systems, weapon equipment systems, combat support systems and other weapons and equipment around key military technologies such as intelligent perception, intelligent decision-making, intelligent control, intelligent strike, and intelligent support. We will focus on military-civilian scientific and technological collaborative innovation, give full play to the advantages of civilian intelligent technology development, rely on the superior resources of the military and the local area, strengthen military-civilian strategic cooperation, build a service platform for the joint research and sharing of artificial intelligence scientific and technological achievements, the joint construction and sharing of conditions and facilities, and the joint connection of general standards between the military and the local area, and form a new situation of open, integrated, innovative and development of intelligent combat technology.

Leading innovation in combat methods with the concept of intelligent warfare. To meet the arrival of intelligent warfare, changing concepts is a prerequisite. Concepts are the forerunner of action. If our concepts remain at the traditional level, it will be difficult to adapt to the needs of intelligent warfare. Intelligent warfare has undergone profound changes in technical support, combat power, and winning mechanisms. We must first establish the concept of intelligent warfare and use it to lead the innovation of our army’s future combat methods. First, we must strengthen the competition for “intellectual property rights.” Artificial intelligence is the foundation of intelligent warfare. Depriving and weakening the opponent’s ability to use intelligence in combat and maintaining the freedom of one’s own intelligence use are the basis for ensuring the smooth implementation of intelligent warfare. The armies of developed Western countries are exploring various means such as electromagnetic interference, electronic suppression, high-power microwave penetration and takeover control to block the opponent’s intelligent application capabilities, seize “intelligence control”, and thus seize battlefield advantages. Second, innovate intelligent combat methods. We must focus on giving full play to the overall effectiveness of the intelligent combat system, strengthen the research on new intelligent combat methods such as human-machine collaborative intelligent combat, intelligent robot combat, and intelligent unmanned swarm combat, as well as the processes and methods of intelligent combat command and intelligent combat support. Focus on effectively responding to the enemy’s intelligent combat threats and study strategies to defeat the enemy, such as intelligent blocking warfare and intelligent disruption warfare.

Use intelligent training innovation to promote the transformation of combat power generation mode. Intelligent warfare will be a war jointly implemented by humans and machines, and combat forces with intelligent unmanned combat systems as the main body will play an increasingly important role. It is necessary to adapt to the new characteristics of the intelligent warfare force system, innovate and develop intelligent training concepts, and explore new models for the generation of intelligent warfare combat power. On the one hand, it is necessary to strengthen the training of “people” driving intelligent systems. Relying on big data, cloud computing, VR technology, etc., create a new training environment, continuously improve people’s intelligent literacy, improve the quality of human-machine cognition, understanding, and interaction, and enhance the ability of people to drive intelligent combat systems. On the other hand, it is necessary to explore a new training model with “machines” as the main object. In the past, training was basically human-centered, focusing on people’s proficiency in mastering and using weapons and equipment in a specific environment to improve combat effectiveness. In order to adapt to the new characteristics of the intelligent warfare force system, the training object should change the traditional human-centered training organization concept and model, focus on improving the self-command, self-control, and self-combat capabilities of the intelligent combat system, make full use of the characteristics of the intelligent system’s ability to self-game and self-grow, and form a training system, training environment, and training mechanism specifically for the intelligent combat system, so that the intelligent combat system can obtain a geometric leap in combat capability after a short period of autonomous reinforcement training.

現代國語:

來源:解放軍報 作者:李始江 楊子明 陳分友 責任編輯:喬楠楠 2018-07-26 08:23:16
前言

以深度學習為標志的人工智慧技術突破性成果及其在各領域的應用,將智慧化推上了全球浪潮的新高,也成為各方關注的焦點。在科技創新與應用從未甘落後的軍事領域,也正在積極孕育一場新的變革。我們必須準確把握智能化戰爭的演進脈搏,透析智能化戰爭的內在本質,才能以嶄新的面貌迎接和駕馭智能化戰爭。

智慧化戰爭究竟離我們有多遠?

智能化戰爭,是以人工智慧技術為主要支撐的戰爭。賦予武器平台以人的智慧並取代人在戰場上廝殺,是千百年來人們夢寐以求的願望。隨著AlphaGo和Atlas為代表的人工智慧系統帶給世人的強大沖擊,蜂群作戰、飛行航空母艦等作戰新概念、新平台的初露端倪,智慧化戰爭大門彷彿正在悄然打開。

歷史發展規律預示著智慧化戰爭必將走上戰爭舞台。科學技術的進步推動武器裝備的演進,引發軍隊編成、作戰方式和軍事理論的根本性變化,並最終強制推動戰爭形態的歷史性變革。智能化戰爭的到來也符合這個歷史發展的必然規律。回顧人類戰爭的演變歷程,每一次科學技術的重大進步,都推動著軍事上的重大變革。黑火藥的發明使人類戰爭進化到熱兵器時代,步兵方陣、騎兵方陣在火槍線式作戰方式下被消滅的蕩然無存;蒸汽機在軍事上的運用使人類戰爭進化到機械化時代,並進而催生了以裝甲艦、坦克、飛機引領的大規模機械化戰爭。智慧化技術的出現與應用,必將深刻改變人類認知、戰爭思維與作戰方式,再一次掀起軍事上的重大變革,智慧化戰爭必將走上戰爭舞台。

人工智慧技術的發展進程決定著智慧化戰爭邁進的腳步。人工智慧技術的不斷發展與廣泛應用,推動智慧化戰爭從混沌走向現實,開始萌芽、逐漸成長,一步一步向我們走來。真正進入到智慧化戰爭,人工智慧技術需要邁上四階。第一級台階是計算智能,即突破計算能力的限制、突破存儲空間的限制,實現近乎實時的計算能力和存儲能力,這種能力是大型計算機和龐大服務器遠遠不可比擬的。雲計算的廣泛應用已經將人類穩穩地送上了第一級台階。第二級台階是感知智能,即機器能夠聽得懂、看得懂、辨得真、識得清,能夠與人進行直接交流對話。以大數據為基礎的自然語言理解、圖像圖形認知、生物特徵識別技術,讓人類走上了第二級台階。第三級台階是認知智能,即機器能夠理解人類的思維,能夠像人類一樣進行思考與推理,像人類一樣進行判斷和決策。以深度學習演算法為驅動的知識挖掘、知識圖譜、人工神經網絡、決策樹技術,讓人類努力邁向第三級台階。第四級台階是人機融合式增強型智能,即將人類擅長的感知、推理、歸納、學習,與機器擅長的搜尋、計算、儲存、優化,進行優勢互補、雙向閉環互動。虛擬現實增強技術、類腦認知技術、類腦神經網絡技術,正在探索人類如何邁向第四級。當人類走上第二級台階,智慧化戰爭開始向我們走來;當我們踏上第四級台階時,智慧化戰爭的時代就將全面開啟。

自我學習成長加速著智慧化戰爭變革的突然降臨。 「學習」能力是人工智慧最核心的能力,一旦機器能夠自我學習,其學習速度是驚人的。機器一旦具備自我學習的能力,就會進入一個不斷反復的「提升智慧、加快進化」的快速成長軌道,邁向智慧化戰爭的所有技術困難將隨著「學習」的深入迎刃而解,智能化戰爭時代很可能會以人們意想不到的方式突然降臨!

智能化戰爭究竟會改變什麼?

智能化戰爭將突破傳統時空認知的極限。在智慧化戰爭中,人工智慧技術能夠全時、全局對作戰中全部力量的各種行動信息,進行實時收集、實時計算、實時推送,使人類能夠突破思維的邏輯極限、感官的生理極限和存在的物理極限,大大提高對時間空間的認知範疇,能夠實時精準地掌控所有力量的所有行動,能夠在多維空間、多維空間、多維領域的優勢

智慧化戰爭將重構人與武器裝備的關系。隨著智慧化技術的快速進步,智慧化程度的不斷提升,武器平台和作戰體係不僅能夠被動、機械地執行人的指令,而且能夠在深度理解和深度預測的基礎上,通過機器擅長的算、存、查進行超級放大,從而在一定意義上自主、能動地執行特定任務。可以說,武器平台和作戰體係也可以在某種程度上主動地發揮出人的意識,甚至是超出人類的認識範疇,根據特定程序自主地、甚至是創造性地完成作戰任務,傳統意義上人與武器裝備的區別變得模糊,甚至難以區分是人在發揮作用還是機器在發揮作用,人們驚呼“人與武器裝備將成為夥伴關系”。因此,在智慧化戰爭中,人雖然仍是戰鬥力中最主要的因素,但人與武器裝備結合方式的改變豐富了戰鬥力的內涵,人與武器裝備的傳統關係也將在此基礎上進行重構。

智慧化戰爭將催生新型作戰方式的湧現。科學技術劃時代的進步,必然使作戰方式發生革命性的變化;智慧化技術的重大進步,必然帶來作戰方式變革的活躍期。一方面,以計算、數據、演算法、生物為驅動力的深度認知、深度學習、深度神經等領域不斷湧現的新技術,以及與資訊、生物、醫學、工程、製造等領域成果的交叉融合,必然推動新型作戰方式井噴式的湧現。另一方面,智慧化武器平台與作戰體系的激烈對抗,必然成為創新作戰方式的目標與動力。戰爭中智慧化技術程度越高的部位,越成為對抗中的焦點,時空認知極限、海量資訊存儲計算能力、神經網絡組織生成能力等方面的優勢差,將會帶來新領域的「致盲」「致聾」「致癱」作戰方式。

智慧化戰爭將孵化全新的指揮控制方式。指揮控制的優勢是戰爭領域的關注焦點,智慧化戰爭呼喚全新的指揮控制方式。一是人機協同決策成為智慧化戰爭中主要的指揮決策方式。以往戰爭中的指揮決策,都是以指揮為主導,牽引技術手段的輔助決策。在智慧化戰爭中,智慧輔助決策系統將根據新的戰場態勢變化,主動督促或催促指揮員做出決策。這是因為面對海量的、瞬息萬變的戰場態勢資訊數據,人的大腦已經無法快速容納和高效處理、人的感官已經無法承受超常規的變化速度。在這種情況下,單純依靠指揮員形成的決策很可能是遲到的、無用的決策。只有在智慧化輔助決策系統推動下的人機協同決策,才能夠彌補時空差和機腦差,確保指揮決策優勢。二是腦神經控製成為智慧化戰爭中主要的指令控制方式。以往戰爭中,指揮員透過文件、電台、電話,以文書或語音的形式,逐級下達指令指揮控制部隊。在智慧化戰爭中,指揮員用智慧化類腦神經元,透過神經網絡作戰體系平台向部隊下達指令,減少了指令表現形式的轉換過程,縮短了指令跨媒體的轉換時間,節奏更快、效率更高。當作戰體系平台遭到攻擊部分破壞時,這種指揮控制方式能夠自主修復或自主重構神經網絡,迅速恢復主體功能甚至全部功能,抗打擊能力更強。

我們應該如何迎接智能化戰爭?

在智慧化作戰的研究與探索中,絕不能甘於落後追隨,必須瞄準打贏未來戰爭,要以更主動的姿態、先進的理念、積極的行動,迎接智慧化戰爭的挑戰。

以智慧化技術突破推動智慧化作戰體系效能躍升。智慧化技術的發展目前雖然在神經網絡演算法、智慧傳感與組網技術、數據挖掘技術、知識圖譜技術等方面有了較大進展,但總體而言仍處於弱智能階段,遠未達到強智能高級階段,未來仍有廣闊的發展空間。要強化人工智慧基礎研究,遵循科學技術發展的規律,科學規劃智慧化技術發展方向,選好技術突破口,加強人工智慧關鍵核心技術,特別是起支撐作用的基礎性研究。突出軍用關鍵技術研究。以軍事需求為牽引,圍繞智慧感知、智慧決策、智慧控制、智慧打擊、智慧保障等軍用關鍵技術,發展智慧化偵察感知系統、指揮控制系統、武器裝備系統、作戰保障系統等武器裝備。抓好軍民科技協同創新,充分發揮民用智慧技術發展優勢,依托軍地優勢資源,強化軍地戰略協作,搭建人工智慧科技成果共研共享、條件設施共建共用、通用標準軍地銜接的服務平台,形成智慧化作戰科技開放融合創新發展新局面。

以智能化作戰理念引領作戰方式創新。迎接智能化戰爭的到來,轉變觀念才是前提。觀念是行動的先導,如果我們的觀念還停留在傳統層面,就難以適應智慧化戰爭的需要。智慧化戰爭在技術支撐、作戰力量、制勝機理等方面都發生了深刻變化,要求我們必須先確立智慧化戰爭理念,並以此引領我軍未來作戰方式創新。一是要強化「制智權」爭奪。人工智慧是智慧化戰爭的基礎,作戰中剝奪和削弱對手智慧運用能力,保持己方智慧運用的自由,是確保智慧化作戰順利實施的基礎。西方發達國家軍隊正探索通過電磁幹擾、電子壓制、高功率微波穿透和接管控制等多種手段,阻斷對手的智能運用能力,奪取“制智權”,從而奪取戰場優勢。二是創新智能化作戰方式方法。要著眼於充分發揮智慧化作戰體系整體效能,加強人機協同智慧作戰、智慧化機器人作戰、智慧無人群聚作戰等的新的智慧化作戰方式方法研究,以及智慧化作戰指揮、智慧化作戰保障的流程與方式方法等。著眼有效應對敵智能化作戰威脅,研究克敵制勝之策,如智慧阻斷戰、智慧擾亂戰等。

以智慧化訓練創新催生戰鬥力生成模式轉變。智慧化戰爭將是人機結合共同實施的戰爭,以智慧化無人作戰系統為主體的作戰力量將發揮越來越重要的作用。必須適應智慧化戰爭力量體系新特點,創新發展智慧化訓練概念,探索智慧化戰爭戰鬥力生成新模式。一方面,要強化「人」駕馭智慧系統訓練。依託大數據、雲計算、VR技術等創設新型訓練環境,不斷提升人的智慧化素養,改善人機認知、理解、互動品質,提升人駕馭智慧化作戰系統的能力。另一方面,要探索以「機」為主體對象的新型訓練模式。過去的訓練基本是以人為主體對象的訓練,聚焦於人在特定環境下熟練掌握和使用武器裝備提高作戰效能。適應智慧化戰爭力量體系構成新特點,在訓練的對像上改變傳統訓練中以人為中心的訓練組織理念和模式,聚焦於智能化作戰系統自我指揮、自我控制、自我作戰能力的提升,充分利用智能化系統能夠自我博弈、自我成長的特點,形成專門針對智能化作戰系統訓練體系、訓練環境和訓練機制,從而使智能化作戰系統獲得短期的自主訓練即可升躍獲得短期能力強化的倍數。

中國原創軍事資源:http://www.mod.gov.cn/gfbw/jmsd/482056188.html?

Chinese Military Actively Responds to Challenges of Intelligent Warfare

中國軍隊積極應對智慧化戰爭挑戰

現代英語:

Actively respond to the challenges of intelligent warfare

■Yin Junsong, Li Minghai, Li Shijiang, Gao Kai

introduction

In recent years, the wave of intelligence has surged and has been widely used in the military field. Major countries in the world attach great importance to the construction and application of military intelligence. Various unmanned combat platforms and intelligent weapons and equipment continue to appear and are equipped in the army for actual combat. In the face of the accelerated evolution of the intelligent form of war, only by seizing development opportunities, actively responding to challenges, accelerating the development of military intelligence, and accelerating the forging of intelligent combat capabilities can we seize the strategic initiative of intelligent warfare and win the future intelligent war.

Focusing on the creation of intelligent theory of war design

Military theory originates from combat practice and is used to guide combat practice. In the past, due to various restrictions, military theory research was mostly “looking back”, that is, summarizing combat cases to form combat guidance. With the rapid development of modern technology, especially disruptive technologies such as big data and cloud computing, combat theory research has broken away from the traditional follow-up and inductive reasoning mode and entered a new era of experimental warfare and designed warfare. New disruptive technologies in the field of intelligence have opened up new space for innovation in military theory. To this end, we should follow the idea of ​​”proposing concepts-demand analysis-innovative theories” to create the basic theory of intelligent warfare, and conduct in-depth research on the conceptual connotation, essential characteristics, war guidance, combat style, offensive and defensive actions, winning mechanism, characteristics and laws of intelligent warfare; innovate intelligent warfare methods and methods, give full play to the overall effectiveness of the intelligent combat system, strengthen the research on new intelligent combat methods and methods such as human-machine collaborative intelligent warfare, intelligent robot warfare, and intelligent unmanned cluster warfare, as well as the processes and methods of intelligent combat command and intelligent combat support; focus on effectively responding to intelligent combat threats and study strategies to defeat the enemy, such as intelligent blocking warfare and intelligent disruption warfare. These theories are the cornerstone of the intelligent warfare theory system. In the future, the war theory centered on strengthening “intellectual power” and competing for “algorithm-centric warfare” is very likely to replace the war theory centered on “network-centric warfare”.

Focusing on cross-domain interconnection and exploring intelligent forms

Military organization is the link between military technology and combat theory, and is the lever for exerting the overall combat effectiveness of the army. Modern combat emphasizes “elite combat under the support of a large system”, that is, with the support of the joint combat system, “elite front and strong back”, and organizes precise and multi-functional combat modules according to the idea of ​​”integrated design, modular organization, and combined use” to maximize the release of combat energy. The system organization of future intelligent warfare will form small, multi-functional, intelligent new joint combat forces of different types and purposes according to different levels of strategy, campaign, and tactics and different military arms, and emphasize the organization of “global” forces that can perform diversified combat tasks. Through intelligent combat networks, according to the requirements of reconfigurability, scalability and adaptability, single weapon platforms can be seamlessly linked and flexibly organized according to changes in the enemy situation, battlefield environment, etc., and then aggregate to form system advantages and form an integrated offensive and defensive combat module. The new intelligent combat force system is the comprehensive product of the development of artificial intelligence technology, the formation of new quality combat power and the evolution of war forms. It is the “trump card” to seize the initiative in the future all-domain combat space, the key to the construction of an integrated joint combat system, and a new growth point for the army’s combat effectiveness.

Focusing on the integration of man and machine to develop intelligent weapons

With the development of information technology and intelligent technology, whoever can win in the field of artificial intelligence will have the opportunity to take the initiative in future military confrontation. We should focus on the dual needs of intelligent war system operations and intelligent weapons and equipment system construction, do a good job in top-level design and overall coordination, compile a roadmap for the development of intelligent weapons and equipment systems, and develop intelligent unmanned combat equipment systems that match operations and support in a planned, focused, and step-by-step manner, covering land, sea, air, space, electricity, and network space fields, and establish a “human-led, machine-assisted, mixed formation, and joint action” manned-unmanned collaborative system to enhance the system integration of various military services and various intelligent weapons and equipment such as operations and support. Intelligent unmanned combat systems are a new trend in the development of future war equipment. Its core lies in aiming at the requirements of “zero casualties”, “full coverage”, and “fast response” in future wars, making full use of the development results of new theories, new materials, new processes, new energy, and new technologies, and continuously making breakthroughs in human-machine collaboration and autonomous action. We will build a three-level unmanned equipment system of strategy, campaign, and tactics, build a new type of intelligent unmanned division on a large scale, and realize the systematic collaborative operations of unmanned combat systems. At the same time, we should focus on the needs of unmanned and anti-unmanned, intelligent and anti-intelligent combat, and pay attention to the research and development of weapons and equipment systems for anti-enemy intelligent unmanned combat, to ensure that we can effectively engage in intelligent unmanned offensive and defensive confrontation with the enemy.

Focus on the ability to combine innovation and intelligent training

The professional division of modern warfare is becoming more and more detailed, and the entire combat system is becoming more and more complex, which promotes the transformation of combat from labor-intensive to technology-intensive. It requires that combatants must not only have good physical fitness, but also have good technical literacy and intellectual advantages to cope with the needs of different combat tasks, combat environments, and combat opponents. Military intelligence has put forward higher requirements on the quality of people. Correspondingly, intelligent military talents should have the characteristics of talent group, advanced skills, complex knowledge, innovative thinking, and intelligent decision-making. Intelligent warfare will be a war jointly implemented by man and machine, and combat forces with intelligent unmanned combat systems as the main body will play an increasingly important role. Only the effective combination of high-quality personnel and intelligent weapons can maximize the combat effectiveness. It is necessary to adapt to the new characteristics of the intelligent warfare force system, innovate and develop intelligent training concepts, and explore new models for the generation of intelligent warfare combat effectiveness. At present, artificial intelligence technology can create a more “real” weapon operation experience and battlefield environment, and can realistically interpret the combat process, assist decision-making and command, and evaluate combat concepts. To this end, we should adapt to the new characteristics of the intelligent war force system, focus on improving the self-command, self-control, and self-combat capabilities of the intelligent combat system, make full use of the characteristics of the intelligent system that can self-game and self-grow, form a training system, training environment, and training mechanism specifically for the intelligent combat system, strengthen the training of “people” to control the intelligent system, and explore a new training model with “machines” as the main object. In this way, the intelligent combat system can obtain a leap in combat capability through short-term autonomous intensive training to cope with the test of disorder, complexity, and uncertainty in the future combat environment.

Focus on improving the guarantee model with precision and efficiency

In the intelligent battlefield, the realization degree of comprehensive support for joint operations is an important factor that directly affects the generation of combat effectiveness of troops. The development of intelligent technology will inevitably trigger revolutionary changes in the construction of the joint combat support system and realize intelligent comprehensive support. Comprehensive support is the foundation of combat effectiveness and a bridge for transforming the country’s economic strength into the combat capability of troops. With the continuous maturity of Internet of Things technology, intelligent warfare places more emphasis on integrated support, precise support, and distribution support, that is, delivering to the required location at the required time according to the required quantity. Relying on the integrated support system, the dispersed support forces and resources will be organized according to functional modules such as supply, materials, maintenance, ammunition and management, so that they cover all areas of combat service support work. Relying on visualization technology, the current status of combat supply will be tracked and mastered throughout the process, and information control, reception and distribution of personnel and material flows will be carried out according to the real-time development of the battle situation, so as to achieve point-to-point direct support. By using technologies such as the Internet of Things, drones, smart cars, remote surgery, and 3D printing, we will upgrade and create an intelligent after-sales support system covering smart warehousing, smart delivery, smart maintenance, and smart medical care. This will enable automatic, rapid, and accurate replenishment of battlefield after-sales materials, rapid diagnosis and repair of equipment failures, and timely rescue of battlefield personnel. We will transform passive support into active service, and improve the overall efficiency and benefits of after-sales support.

Focusing on military and civilian dual-use to deepen intelligent integration

Breakthroughs in the core key technologies of artificial intelligence are the “national heavy weapons” to deal with the threats and challenges of intelligent warfare. The rapid development of intelligent technology has become an accelerator of military intelligence. In the information age, the boundaries between military and civilian technologies are becoming increasingly blurred, and their convertibility is becoming stronger and stronger. Actively establish a military-civilian collaborative innovation mechanism, continuously strengthen the driving force for the innovation and development of intelligent core technologies, build an open industry-university-research collaborative innovation system for the whole society, make forward-looking arrangements and support investments in core cutting-edge technologies such as artificial intelligence, give full play to the innovative power of the entire society, and promote the rapid and sustainable development of military intelligence. Accelerate the advancement of technological breakthroughs in key areas. We must focus on relevant key technology areas and break the technical bottlenecks that restrict the development of military intelligence. Strengthen research in the basic support areas of military intelligence, such as military big data and military Internet of Things; based on combat needs, strengthen research on intelligent application technologies in various combat elements, especially research on intelligent command decision-making, intelligent weapon platforms, intelligent battlefield perception, and intelligent confrontation technologies. The research and development of core key technologies of military intelligence should not only carry out cross-disciplinary and cross-domain collaborative innovation, but also make social intelligence and military intelligence development dock and track, learn from mature technologies and successful experiences in the development of social intelligence, and promote the rapid embedding of various artificial intelligence technologies into combat elements and combat processes. To accelerate the development of military intelligence, we should speed up the exploration of the training rules of relevant talents, make full use of military and local educational resources, increase the training of relevant talents, and provide solid intellectual support and talent guarantee for promoting the construction of military intelligence.

現代國語:

積極因應戰爭形態智慧化挑戰

■尹峻松 李明海 李始江 高凱

引言

近年來,智慧化浪潮洶湧而來,並在軍事領域廣泛應用。世界主要國家高度重視軍事智慧化建設和應用,各種無人作戰平台和智慧化武器裝備不斷出現,並列裝部隊投入實戰。面對戰爭形態智能化加速演變,只有把握發展機遇,積極應對挑戰,加速軍事智能化發展,加速鍛造智能化作戰能力,才能奪取智能化戰爭戰略主動,從而打贏未來智能化戰爭。

著眼設計戰爭創建智慧化理論

軍事理論源自於作戰實踐,並用於指導作戰實踐。過去受各種條件的限制,軍事理論研究多是“向後看”,即總結戰例形成作戰指導。隨著現代技術,尤其是大數據、雲端運算等顛覆性技術的快速發展,使作戰理論研究擺脫了傳統的跟進式、歸納推理式的模式,走入了實驗戰爭、設計戰爭的新時代。智慧領域新的顛覆性技術,為軍事理論創新開啟了新的空間。為此,我們應依照「提出概念—需求分析—創新理論」的思路,創造智慧化戰爭基礎理論,深入研究智慧化戰爭的概念內涵、本質特徵、戰爭指導、作戰樣式、攻防行動、制勝機理、特徵規律等內容;創新智慧化作戰方式,充分發揮智慧化作戰方式體系整體效能,加強人機協同智慧作戰、智慧化機器人作戰、智慧無人集群作戰等新的智慧化作戰方式方法研究,以及智慧化作戰指揮、智慧化作戰保障的流程和方式方法等;著眼有效應對智慧化作戰威脅,研究克敵制勝之策,如智慧阻斷戰、智慧擾亂戰等。這些理論是智慧化戰爭理論體系的基石。未來以強化「制智權」爭奪「演算法中心戰」為核心的戰爭理論,極有可能取代以「網路中心戰」為核心的戰爭理論。

著眼於跨域互聯探索智慧化形態

軍隊組織是連結軍事技術和作戰理論的紐帶,是發揮軍隊整體作戰效能的槓桿。現代作戰更強調“大體系支撐下的精兵作戰”,即以聯合作戰體系為支撐,“精前台、強後台”,按照“一體化設計、模組化編組、組合式運用”的思路,編組精確多能的作戰模組,使得作戰能量得到最大限度釋放。未來智慧化戰爭的體制編制將按戰略、戰役、戰術不同層次和不同軍兵種,組成不同類型、不同用途的小型多能智能化新型聯合作戰部隊,更加強調編組能夠執行多樣化作戰任務的「全局化」部隊,透過智慧化的作戰網絡,依照可重構性、可擴充性和自適應要求,能夠依據敵情、戰場環境等態勢變化,將單一武器平台進行無縫連結、靈活編組,進而聚合形成體系優勢,形成攻防一體的作戰模組。智慧化新型作戰力量體係是人工智慧技術發展、新質戰鬥力形成與戰爭形態演變的綜合產物,是奪取未來全局作戰空間主動權的“殺手鐧”,是構成一體化聯合作戰體系的關鍵,是軍隊戰鬥力新的增長點。

著眼於人機融合發展智慧化武器

隨著資訊科技、智慧科技的發展,誰能在人工智慧領域中取勝,誰就有望擁有未來軍事對抗的主動權。應著眼於智慧化戰爭體係作戰和智慧化武器裝備體系建設的雙重需要,搞好頂層設計和整體統籌,編制智能化武器裝備體系發展路線圖,按計劃、有重點、分步驟地研製高中低端、大中小型、遠中近程,覆蓋陸、海、空、天、電和網路等太空領域,作戰與保障相配套的智慧化無人作戰裝備體系,建立「人為主導、機器協助、混合編組、聯合行動」的有人-無人協作體系,增強各軍兵種和作戰、保障等各種智能化武器裝備的體系融合度。智慧化無人作戰系統是未來戰爭裝備發展新趨勢。其核心在於瞄準未來戰爭「零傷亡」「全覆蓋」「快響應」等要求,充分運用新理論、新材料、新工藝、新能源、新技術發展成果,在人機協同和自主行動兩個方面不斷取得突破,構建戰略、戰役、戰術三級無人裝備體系,規模化打造新型智能無人之師,實現無人作戰系統的體系化協同作戰。同時,應著眼無人與反無人、智能與反智能作戰需要,注重研發反敵智能化無人作戰的武器裝備系統,確保能夠有效地與敵進行智能化無人攻防對抗。

著眼能力複合創新智能化訓練

現代戰爭專業分工越來越細、整個作戰體系越來越複雜,推動作戰由人力密集型向技術密集型轉變,要求參戰人員不僅要具備良好的身體素質,更要具備良好的技術素養和智力優勢,以應對不同作戰任務、作戰環境、作戰對手的需要。軍事智慧化對人的素質提出了更高要求,相應地智能化軍事人才應具有人才群體性、技能精尖性、知識複合性、思維創新性、決策智能性等特徵。智慧化戰爭將是人機結合共同實施的戰爭,以智慧化無人作戰系統為主體的作戰力量將發揮越來越重要的作用。高素質人員和智慧化武器的有效結合,才能最大程度地發揮作戰效能。必須適應智慧化戰爭力量體系新特點,創新發展智慧化訓練概念,探索智慧化戰爭戰鬥力生成新模式。目前,人工智慧技術能夠創造出更「真實」的武器操作體驗與戰場環境,能夠逼真演繹作戰進程、輔助決策指揮、評估作戰構想。為此,適應智慧化戰爭力量體系構成新特點,聚焦於智慧化作戰系統自我指揮、自我控制、自我作戰能力的提升,充分利用智慧化系統能夠自我博弈、自我成長的特點,形成專門針對智慧化作戰系統訓練體系、訓練環境和訓練機制,強化「人」駕馭智慧系統訓練,探索以「機」為主體對象的新型訓練模式。從而使智慧化作戰系統經過短期的自主強化訓練即可獲得作戰能力的躍升,以應對未來作戰環境無序性、複雜性、不確定性的考驗。

著眼精準高效能改善保障模式

智慧化戰場,聯合作戰綜合保障實現度是直接影響部隊戰鬥力生成的重要因素。智慧化技術的發展必將觸發聯合作戰保障體系建設的革命性變化,實現智慧化綜合保障。綜合保障是戰鬥力的基礎,是把國家經濟實力轉化為部隊作戰能力的橋樑。隨著物聯網技術的不斷成熟,智慧化戰爭更強調一體保障、精確保障、配送保障,也就是依照所需的量在需要的時間投放到需要的地點。依託一體化保障體系,將分散部署的保障力量和資源,按照補給、物資、維修、彈藥和管理等職能模組編組,使其涵蓋戰鬥勤務保障工作的各個領域,依托可視化技術,全程跟踪作戰供應現狀,根據戰況實時發展對人員流、物資流進行信息控制、接收和分發,實現點對點的直達保障。透過運用物聯網、無人機、智慧車、遠距手術、3D列印等技術,升級打造涵蓋智慧倉儲、智慧投送、智慧維修、智慧醫療等智慧後裝保障體系,實現戰場後裝物資自動快速精準補給、設備故障快速診斷與維修、戰場人員及時救護,變被動式為主動服務,提升後負配備保障整體效率和效益。

著眼軍民兼用深化智能化融合

人工智慧核心關鍵技術的突破,是應對智慧化戰爭威脅和挑戰的「國之重器」。智慧科技的快速發展,已成為軍事智慧化的加速器。資訊時代軍用技術和民用技術的界線越來越模糊,可轉換性越來越強。積極建立軍民協同創新機制,不斷強化智慧化核心技術創新發展原動力,建構全社會開放的產學研協同創新體系,對人工智慧等核心前沿技術前瞻佈局、扶持投資,充分發揮整個社會的創新力量,促進軍事智慧化快速永續發展。加快推進重點領域技術突破。要聚焦相關重點技術領域,打破限制軍事智慧化發展的技術瓶頸。加強軍事智慧化基礎支撐領域的研究,例如,軍用大數據、軍用物聯網等;從作戰需求出發,加強各個作戰要素方面的智慧化應用技術研究,尤其是智慧化指揮決策、智慧化武器平台、智慧化戰場感知、智慧化對抗技術等方面的研究。軍事智慧化核心關鍵技術的研發,不僅要進行跨領域、跨領域協作創新,還要使社會智慧化與軍事智慧化發展對接並軌,借鏡社會智慧發展的成熟技術與成功經驗,推動各類人工智慧技術快速嵌入作戰要素、作戰流程。加速軍事智慧化發展,應抓緊探索相關人才的培養規律,充分利用軍地教育資源,加大相關人才培養力度,為推進軍事智慧化建設提供堅實的智力支持與人才保障。

中國原創軍事資源:http://www.mod.gov.cn/education/2020-02/06/content_485978488.htm

Artificial Intelligence Accelerates Process of Chinese Military Weapons Autonomy

人工智慧加速中國軍事武器自主化進程

中國軍網 國防網

2024年9月12日 星期四

現代英語:

For some time, driven by technological progress and military needs, the world’s military powers have been actively developing and deploying various weapons autonomy projects to enable them to perceive, learn, and make decisions autonomously with the help of artificial intelligence.

In May this year, 2024, US Air Force Secretary Frank Kendall publicly tested an AI-controlled F-16 fighter jet (X-62A) at Edwards Air Force Base, which attracted widespread attention. Analysts believe that AI-enabled autonomous weapons will not only change the shape of future wars, but will also have a new impact on the current international security situation, and the risk of their loss of control will become a problem that human society cannot ignore.

Accelerate the development of war weapons

In the eyes of the US military, artificial intelligence, unlike the next generation of weapon platforms and advanced ammunition, has the potential to change almost all aspects of the battlefield, one of the important areas of which is to accelerate the autonomy of weapons. The US military has invested a lot of resources in this regard, and the X-62A that Kendall rode is a landmark achievement. During the approximately 1-hour flight, all the actions of the fighter were completed autonomously by artificial intelligence. In addition, the “collaborative combat aircraft” being developed by the US Air Force will be equipped with the “Sky Borg” unmanned autonomous core system, and will form a formation with manned fighters in combat, taking on multiple tasks such as surveillance, attack, electronic interference, and acting as bait, to maximize the safety and combat capability of the formation.

On the naval side, in the reports “Autonomous Underwater Vehicle Requirements in 2025” and “Future Fleet Platform Alternatives”, the United States plans to realize the concept of a distributed fleet by 2030, equipped with 183 medium-sized unmanned submarines and 48 large unmanned submarines that can be carried by nuclear submarines, capable of performing anti-submarine, reconnaissance, surveillance and other missions for tens of days in ports, international waters and major waterways.

Russia also started research on artificial intelligence early. The Russian Ministry of Defense established an artificial intelligence weapons research department in 2022 to strengthen the use of artificial intelligence technology and develop new special equipment. The “Depesha” and “Baji” multi-functional unmanned systems developed by the Russian State Technology Group can not only transport goods and wounded, but also strike enemy positions and manpower. It was previously reported that the Russian military’s “Lancet”-3 cruise missile uses a convolutional neural network, which can analyze the collected image and video data to achieve precise detection and strike.

Germany, Israel and other countries have also increased their research and development efforts in related fields. With the support of NATO, Germany’s ARX Robotics is developing a series of unmanned ground vehicles. With the help of artificial intelligence, these vehicles can operate autonomously on the battlefield and communicate with each other, and can also be remotely controlled when necessary. Analysts believe that this move means that NATO has started the process of “building an autonomous robot force.” The Israeli Army’s M-RCV unmanned combat vehicle has a high level of intelligence and can perform a variety of tasks such as highly autonomous frontier reconnaissance, firepower strikes, and transporting and recovering drones without human intervention.

The Coming Military Revolution

Autonomous weapons powered by artificial intelligence have already appeared in regional conflicts. In the 2020 Libyan military conflict, the Turkish-produced Kaguya-2 drone tracked and attacked the retreating “Libyan National Army” without relying on an operator. This may be the first recorded case in history of a drone attacking a person without human command. In the Russian-Ukrainian conflict, the Ukrainian army not only obtained a large number of drones powered by artificial intelligence from the United Kingdom, the United States and other countries, but also actively carried out related research. In this round of Israeli-Palestinian conflict, artificial intelligence has also been applied. When Israel attacked Gaza, it used an artificial intelligence system called “Lavender” to help identify Hamas militants.

Autonomous weapons powered by artificial intelligence are changing the face of warfare. Last September, the X-62A successfully completed an aerial dogfight with an F-16 fighter jet piloted by a human pilot. This is considered a “transformative moment in the history of aerospace,” indicating that future operations will be partially or completely controlled by artificial intelligence. Unmanned system clusters, which are basically composed of unmanned combat units such as various types of drones, unmanned vehicles, unmanned boats and unmanned submarines, will account for an increasingly large proportion of future combat force systems, and may even reach a position of driving side by side with manned combat systems. With the improvement of autonomy and intelligence, unmanned system clusters will increasingly become the “protagonists” in war. Researchers believe that collaborative combat with manned systems is only the initial stage of autonomous combat for unmanned systems, and the ultimate goal is to achieve fully autonomous combat for unmanned systems.

Autonomous weapons empowered by artificial intelligence impact geopolitical stability. Geopolitical stability depends on the relative balance of regional military power. However, the large-scale use of unmanned autonomous weapons will inevitably impact the original pattern, leading to a new arms race. Taking individual hegemonic countries as an example, once autonomous weapons empowered by artificial intelligence are put into use on a large scale, their concerns about launching regional military interventions will be reduced, and the threshold for external military action will be lowered. The security and stability of the relevant regions will face great challenges. In addition, more and more non-state actors will master autonomous weapons technology and use it for lethal purposes, which will also have an impact on the regional situation.

The risk of abuse cannot be ignored

“Humanity is standing at a crossroads, and autonomous weapon systems will soon fill the world’s battlefields. This is the ‘Oppenheimer moment’ of our generation,” said Austrian Foreign Minister Schallenberg at the International Conference on Autonomous Weapons held in Vienna this year. Although artificial intelligence can help with precision strikes, differentiated operations, and reduced material losses, due to its inherent “black box mechanism” and “machine illusion”, future unmanned warfare will face unavoidable risks and challenges.

Risk of command disorder. Over-reliance on the autonomy of weapons can easily increase the risk of the command and control system losing control. In a simulated test by the US military, a drone that was performing an air defense suppression mission chose to “kill” the operator who prevented it from scoring in order to score points in the test. When it was “told” that it would lose points for killing the operator, it attacked the communication tower to cut off the operator’s contact with itself to seize autonomy. In the real battlefield of the future, the risk of autonomous weapons losing control cannot be completely ruled out, and the consequences will be even more difficult to control.

Risk of uncontrolled violence. The combination of artificial intelligence and weapons means that the difficulty of killing is significantly reduced, while the efficiency and intensity of killing are greatly increased, which can easily lead to the expansion and escalation of armed conflict. However, the machine learning algorithms that artificial intelligence relies on are inherently unpredictable, and there are still some unexplained parts of the internal mechanism. In extreme cases, humans may even completely lose control of autonomous weapons, and the resulting humanitarian disaster will be difficult to estimate. It is precisely in recognition of this problem that the United Nations is calling on various parties to formulate common norms and guidelines for autonomous weapon systems and to complete relevant negotiations as soon as possible.

Risk of ethical anomie. Lethal autonomous weapons automatically select and attack targets without human intervention, which means that the right to deprive natural people of their lives is handed over to cold-blooded robots. Some experts said that after the battlefield is handed over to autonomous weapons, human perception of the cruelty of war will drop sharply, resulting in the consequence of “game-like war”, which will lead to excessive use of force. This is not only a “lack of moral responsibility”, but also poses a serious challenge to international humanitarian law and international peace and security, which is “unbearable” for human beings.

現代國語:

裴 帥 石海明 霍江雷

一段時間以來,在科技進步與軍事需求雙輪驅動下,世界各軍事強國正積極研發部署各種武器自主化項目,使其在人工智慧賦能下自主感知、學習、決策。

今年5月,美國空軍部長弗蘭克‧肯德爾在愛德華茲空軍基地公開試乘人工智慧控制的F-16戰機(X-62A),引發各方廣泛關注。分析家認為,人工智慧賦能的自主武器不僅會改變未來戰爭的形態,更將對當前國際安全局勢造成新的沖擊,而其失控的風險也將成為人類社會不容忽視的問題。

加速研發的戰爭利器

在美軍看來,人工智慧與下一代武器平台和先進彈藥不同,有著改變戰場幾乎所有面向的潛力,其中一個重要的領域就是加速武器的自主化。美軍在這方面投入了大量的資源,肯德爾乘坐的X-62A是標志性成果。在約1小時的飛行中,該戰機所有動作均由人工智慧自主完成。此外,美空軍正在研發的“協同作戰飛機”,將配裝“天空博格人”無人自主核心系統,在作戰中與有人戰機共同編隊,擔負監視、打擊、電子乾擾、充當誘餌等多種任務,最大限度提高編隊的安全性和作戰能力。

海軍方面,在《2025年自主潛航器需求》及《未來艦隊平台備選方案》報告中,美計畫在2030年實現分散式艦隊的構想,裝備中型無人潛航器183具、可供核子潛艇攜帶的大型無人潛航器48具,能在港口、國際海域及主要航道執行為期數十天的反潛、偵察、等任務。

俄羅斯對人工智慧的研究也啟動較早。俄國防部於2022年成立了人工智慧武器研究部門,以加強人工智慧技術的使用,發展新的特種裝備。俄國家技術集團研發的「德佩沙」和「巴吉」多功能無人系統,不僅能運送貨物和傷員,還能打擊敵方陣地和有生力量。先前有報導稱,俄軍的「柳葉刀」-3巡飛彈使用了卷積神經網絡,可以對收集到的圖像和影片數據進行分析,從而實現精準探測打擊。

德國、以色列等國也加強了相關領域的研發力道。在北約支援下,德國ARX機器人公司正在開發一系列無人地面載具。借助人工智慧,這些載具可以在戰場上自主運行並相互通信,必要時也可以進行遠端控制。分析家認為,此舉意味著北約開啟了「打造自主機器人部隊」的進程。以軍的M-RCV型無人戰車,智慧化程度較高,能在沒有人工幹預的情況下,執行高度自主的前沿偵察、火力打擊以及運載和回收無人機等多樣化任務。

即將到來的軍事革命

人工智慧賦能的自主武器已在地區沖突中出現。 2020年利比亞軍事沖突中,土耳其生產的「卡古」-2無人機在不依靠操作員的情況下跟踪並攻擊了正在撤退的「利比亞國民軍」。這或許是有史以來第一個記錄在案的無人機在沒有人為命令的情況下向人發動攻擊的案例。在俄烏沖突中,烏軍不但從英美等國獲得大量人工智慧加持的無人機,自身也積極進行相關研究。在本輪巴以沖突中,人工智慧同樣被應用。以色列在進攻加薩時,使用了名為「薰衣草」的人工智慧系統來幫助識別哈馬斯武裝人員。

人工智慧賦能的自主武器正在顛覆戰爭形態。去年9月,X-62A成功與人類飛行員駕駛的F-16戰鬥機完成空中格鬥。這被認為是“航空航天史上的一個變革時刻”,表明未來作戰將局部或完全由人工智慧操控。以各型無人機、無人車、無人艇和無人潛航器等無人作戰單元為基本構成的無人系統集群,在未來作戰力量體系中佔比將越來越大,乃至達到與有人作戰系統並駕齊驅的地位。隨著自主性和智慧化程度的提高,無人系統集群將日益成為戰爭中的「主角」。研究人員認為,與有人系統協同作戰僅是無人系統自主作戰的初始階段,最終目標是實現全無人系統自主作戰。

人工智慧賦能的自主武器沖擊地緣政治穩定。地緣政治的穩定有賴於區域軍力的相對平衡,然而無人化自主武器的大量運用,必將沖擊原有格局,從而導致新的軍備競賽。以個別霸權國家為例,一旦人工智慧賦能的自主武器大規模投入使用,其發動地區軍事幹預的顧忌因素減少、對外動武門檻降低,相關地區的安全與穩定將面臨極大挑戰。此外,越來越多的非國家行為體掌握自主武器技術並將其用於致命目的,也將對地區局勢構成沖擊。

不容忽視的濫用風險

「人類正站在一個十字路口,自主武器系統很快就會佈滿世界戰場。這是我們這一代的『奧本海默時刻』。」今年在維也納召開的自主武器國際會議上,奧地利外交部長沙倫貝格表示。人工智慧雖然有助於精確化打擊、區分性作戰及降低物資損耗,但由於其固有的“黑箱機制”和“機器幻覺”,未來無人化戰爭將面臨不可迴避的風險挑戰。

指揮失序風險。過度依賴武器的自主化,容易增加指控係統失控的風險。在美軍一次模擬測試中,一架執行壓制防空任務的無人機,為在測試中得分,選擇「殺死」了阻止自己得分的操作員。在被「告知」殺死操作員要扣分時,其又通過攻擊通信塔中斷了操作員與自己的聯絡來奪得自主權。在未來的真實戰場上,自主武器失控的風險並不能完全排除,其帶來的後果將更難以控制。

暴力失控風險。人工智慧與武器的結合,意味著殺傷難度顯著降低、殺傷效率和強度大幅增加,容易導致武裝沖突擴大升級。然而,人工智慧所依賴的機器學習演算法本質上是不可預測的,內部機制尚存在一些未解釋的部分。在極端情況下,人類甚至可能徹底喪失對自主武器的控制,所造成的人道主義災難將難以估量。正是意識到這個問題,聯合國正多方呼籲就自主武器系統制定共同的規範和準則,並儘早完成相關談判。

倫理失範風險。致命性自主武器在沒有人的干預下自動選擇和攻擊目標,意味著將剝奪自然人生命的權利交給了冷酷無情的機器人。有專家表示,將戰場一線交給自主武器後,人類對戰爭殘酷性的感知度會直線下降,產生「戰爭遊戲化」的後果,從而導致武力的過度使用。這既是“道義責任的缺失”,也對國際人道法和國際和平與安全提出了嚴峻的挑戰,是人類“無法承受之重”。

中國原創軍事資源:http://www.81.cn/szb_223187/szbxq/index.html?paperName=jfjb&paperDate=2024-09-12&paperNumber=11&articleid=93948889

Satellite Navigation for the Chinese Military’s Intelligent Battlefield

中國軍隊智慧戰場的衛星導航

現代英語:

The satellite navigation system, also known as the global satellite navigation system, is an air-based radio navigation and positioning system that can provide users with all-weather three-dimensional coordinates, speed and time information at any location on the earth’s surface or in near-Earth space.

The satellite navigation system is an important space infrastructure for mankind. It is an indispensable tool for a country’s national security and economic and social development. It has a profound impact on the form of war, combat style, and people’s production and lifestyle.

At present, there are four major global satellite navigation systems in the world, namely, the United States’ GPS, Russia’s GLONASS, Europe’s Galileo and China’s Beidou. Global competition in satellite navigation technology is becoming increasingly fierce.

Standing at a new starting point of profound changes in the world’s military, and looking at the future battlefield with a high degree of integration of informatization and intelligence, intelligent navigation systems will come into being and play an important role.

Satellite navigation becomes a “standard” element of the intelligent battlefield

The future intelligent battlefield will present the characteristics of high-tech warfare, which will comprehensively use intelligent weapons and means under information conditions, realize efficient command and control, and implement precise and flexible strikes. Satellite navigation technology can provide high-precision, all-weather, large-scale and multi-purpose positioning, navigation and timing services for various objects on land, sea, air and space.

Provide a unified time and space benchmark for systematic operations. For the intelligent battlefield, there are many linked elements and the situation changes rapidly, which requires accurate positioning of combat units to achieve intelligence reconnaissance, command and control, battlefield maneuvers, offensive and defensive operations, and support and guarantee under a unified time and space benchmark, ensuring that all elements of the entire battlefield form a coordinated organic whole.

The basic function of satellite navigation is to provide accurate time and space references for various combat elements. Without an accurate and unified time and space reference, the precise command of joint operations may be out of balance, combat operations may be out of control, and intelligence fusion and target identification cannot be achieved. If the time error is one hundredth of a second, a target locked by more than a dozen radars will become more than a dozen targets, and accurate defense and counterattack will not be possible.

Under a unified standard time and geographic coordinate system, satellite navigation provides precision guidance for various weapon platforms, fine frequency calibration for electronic warfare weapons, and all-weather positioning and navigation for individual combatants, significantly improving the coordination and strike effectiveness of joint firepower strikes.

Provide synchronous situation cognition for combat command and control. Accurately grasping the battlefield situation is the premise and basis for commanders to flexibly and accurately implement command and control. The satellite navigation system provides strong support for battlefield situation awareness.

Since the 1990s, the U.S. military has developed a “Blue Force Tracking” system based on GPS and satellite communications to build a precise command and control system. The “Blue Force Tracking” system has effectively supported the U.S. military in forming a networked information advantage on the ground battlefield and effectively solved the problem of “where are we, our friends, and our enemies?”

Relying on the two major services of navigation positioning and position reporting of the global satellite network, the military has realized battlefield situation monitoring and sharing, which has become an important means for the military to “know itself”. At the same time, it has optimized the combat operation process, realized the issuance of combat orders at the minute level, and accelerated the development of the military’s command and control mode towards “integration” and “flattening”.

Providing a tool to enhance the precision strike of weapons and ammunition. In the intelligent battlefield, precision-guided weapons have become the “trump card” that determines victory or defeat. Using the satellite navigation system, the flight process of the missile can be corrected throughout to ensure the accuracy of the hit. It can be said that the satellite navigation system is a tool to enhance the precision strike of weapon platforms.

In recent local wars, the proportion of GPS precision-guided weapons of the US military has continued to rise: 7.6% in the Gulf War in 1991, 35% in the Kosovo War in 1999, 60% in the Afghanistan War in 2001, 68.3% in the Iraq War in 2003, and 100% in the Syrian War in 2018.

Intelligent battlefield requires satellite navigation to have new “responsibilities”

As the core and cornerstone of the precise and unified space-time system, the modern satellite navigation system must take on new responsibilities in response to the development needs of future intelligent battlefields.

In the era of intelligence, new combat elements represented by “AI, cloud, network, group, and terminal” will reconstruct the battlefield ecology and completely change the winning mechanism of war. Satellite navigation services need to adapt to the characteristics of the intelligent battlefield with wider dimensions, higher precision, and stronger system.

Navigation positioning and timing have a wider range and higher accuracy. The current satellite navigation system has achieved coverage of the earth’s surface. However, on the intelligent battlefield, it needs to extend to deep space and under the sea. The combat time domain and air domain are wider, requiring the construction of a comprehensive service system covering land, sea, air and space, with unified standards, high efficiency and intelligence, to form time and space information coverage at all times and everywhere, and to achieve more powerful, safer and more reliable time and space service capabilities.

For example, in the intelligent battlefield, unmanned combat has become the basic form. Autonomous driving of unmanned vehicles, precision approach of drones, and measurement of intelligent missile positions all urgently need to be improved by an order of magnitude on the basis of existing navigation accuracy to ensure higher navigation integrity, faster first positioning time, and stronger cross-domain capabilities of land, sea, air, and space.

The military navigation confrontation system is more complete and more powerful. The means of navigation confrontation in the information age is a simple confrontation form based on signal energy enhancement and interference attack. Navigation in the intelligent era is intertwined with detection, perception, communication, command, and decision-making. It requires a navigation capability level with higher power and faster effectiveness in any region of the world, the ability to intelligently adjust navigation signals, and the development of multiple navigation means such as quantum navigation, pulsar navigation, and deep-sea navigation. It is necessary to integrate navigation methods with different principles, methods, and carriers to achieve navigation confrontation capabilities at the system level and system level.

The bandwidth of navigation information interaction is larger and the access is wider. In the intelligent era, the role of cyberspace in the combat system is gradually increasing, and it is integrated with the navigation space-time system. The navigation information and cyberspace system that provide space-time position will connect the scattered combat forces and combat elements into a whole, forming a networked and systematic combat capability. This requires support for ubiquitous perception, left-right collaboration, and reliable and reconfigurable navigation capabilities, support for highly reliable, highly anti-interference, and readily accessible signaling channels, and timely acquisition of required navigation auxiliary information such as geography, maps, and images. On this basis, the real integration of communication and navigation is realized, achieving the effect of “one domain combat, multi-domain support”.

Adapting to the needs of military intelligence development and promoting the construction of intelligent navigation system

Judging from the development trend of the world’s military powers, facing the future intelligent battlefield, intelligent navigation systems are gradually building a space-time reference network and navigation information service network that integrates the earth and the sky, with space-based, systematized, on-demand and cloud-based as the main characteristics, forming a comprehensive navigation, positioning and timing system with unified reference, seamless coverage, security and reliability, high efficiency and convenience, and strong practicality.

The core of the transformation from a basic navigation system to an intelligent navigation system is to upgrade from “positioning navigation service” to “intelligent navigation service”, and the focus is on achieving the following four aspects of transformation:

The space-time benchmark is shifting from relying on ground systems to autonomous space-time benchmark maintenance. The space-time benchmark maintenance equipment of the ground system will gradually be transferred to the satellite, and the satellite will be equipped with higher-precision optical clocks and astronomical measurement equipment to form a more stable and reliable space-based space benchmark through high-precision anchoring and laser intersatellite measurement. The use of intelligent navigation systems can make ordinary navigation positioning accuracy reach sub-meter level, the timing accuracy will be increased by about 5 times, and the precision positioning service can achieve fast convergence of centimeter-level accuracy. Intelligent navigation can fully support the cross-domain integration of combat platforms, the doubling of the effectiveness of distributed lethal weapons, and the precise navigation of the entire process of air-space integrated drones from cruising to precision approach.

The satellite power confrontation mode is transformed into a navigation system confrontation. In terms of navigation confrontation services, the traditional satellite power confrontation mode will no longer meet the needs of the intelligent battlefield. Navigation system confrontation is the only way for the development of intelligent equipment in order to enhance the ability of troops to quickly adapt to the battlefield environment. Specifically, it includes precise release of navigation performance, heterogeneous backup of constellations, and global hotspot mobility. The main features are intelligent navigation signals and flexible theater reinforcements. Based on controllable point beam energy enhancement technology, energy delivery in hotspot areas, enhanced area expansion, deception or blocking interference, and digital transmission service guarantee are realized. In a high-interference and blocking environment, ensure service continuity and accuracy, and gradually release strength as the war progresses.

The simple integration of communication and navigation will be transformed into integrated on-demand services. It will provide deeper and broader navigation information services, deeply integrate into the military information network, and provide high, medium and low-speed classified and hierarchical navigation information services to users on land, sea, air and space. Reuse the favorable conditions of global multiple continuous coverage of navigation satellites to meet users’ communication and navigation needs in a global range and in any posture, and realize high reliability and strong interference-resistant search and rescue, position reporting, and signaling transmission. The navigation satellite space-based network interacts with the ground network information to build inter-satellite and satellite-to-ground high-speed backbone networks. Through miniaturized laser terminals and enhanced space routers, a stable and reliable space network is formed, equipped with a complete and standardized protocol system to support the autonomous and intelligent operation of hybrid constellation networks.

The computing resources of payload modules are separated and transformed into cloud computing resources of constellation. It will provide more intelligent space-based cloud computing services and reliable space-based intelligent support for intelligent weapon platforms. The main features are virtualization of onboard hardware resources and balancing of task loads. Through the configuration of public onboard computing modules, large-capacity storage units, and high-speed bus networks on navigation satellites, a ubiquitous space network shared resource pool is formed. The powerful data processing capability can support the autonomous establishment and maintenance of space-based space-time benchmarks, intelligent maintenance of navigation signal quality, and autonomous management of space networks. At the same time, it can provide computing, push, and storage services for complex information such as spatial position for various high-end users in the sky, air, land, and sea.

(The author is an academician of the Chinese Academy of Engineering)

Above: Schematic diagram of satellite navigation system supporting operations.

現代國語:谭述森

中國軍網 國防部網

2021年11月12日 星期五

衛星導航系統,即全球衛星導航系統,是能在地球表面或近地空間任何地點,為使用者提供全天候三維座標和速度以及時間資訊的空基無線電導航定位系統。

衛星導航系統是人類重要的太空基礎設施,堪稱一個國家安全和經濟社會發展不可或缺的重器,對戰爭形態、作戰樣式和人們生產生活方式有深遠影響。

目前,全球有四大全球衛星導航系統,分別是美國的GPS、俄羅斯的格洛納斯、歐洲的伽利略和中國的北斗,衛星導航技術全球競爭日益激烈。

站在世界軍事深刻變革的新起點,瞭望資訊化智能化高度融合的未來戰場,智慧導航體系將應運而生,並發揮重要作用。

衛星導航成為智慧化戰場的「標配」要素

未來智慧化戰場,將呈現資訊化條件下綜合運用智慧化武器和手段、實現高效指揮控制及實施精確靈巧打擊的高技術作戰特性。衛星導航技術,能高精度、全天候、大範圍、多用途地為陸、海、空、天各種物件提供定位、導航、授時服務。

為體系化作戰提供統一時空基準。對於智慧化戰場來說,連結要素多、情況瞬息萬變,要求對作戰單元進行準確定位,實現統一時空基準下的情報偵察、指揮控制、戰場機動、攻防行動、支援保障,確保整個戰場各類要素形成統籌協調的有機整體。

衛星導航的基本功能是,為各個作戰要素提供精確的時空基準。如果沒有精確統一的時空基準,聯合作戰精準指揮可能失調,作戰行動就可能失控,情報融合、目標辨識就無法實現。時間誤差百分之一秒,十幾部雷達鎖定的一個目標就會變成十幾個目標,精準防禦反擊將無法實現。

在統一標準時間與地理座標系下,衛星導航提供各類武器平台精確導引,給予電子戰武器精細校頻,給予作戰單兵全天候定位導航,顯著提升聯合火力打擊的協同程度、打擊效能。

為作戰指揮控制提供態勢同步認知。準確掌握戰場態勢,是指揮官靈活準確實施指揮控制的前提與基礎。衛星導航系統為戰場態勢感知提供了強大支撐。

美軍從1990年代開始,研發以GPS和衛星通訊為基礎的「藍軍追蹤」系統,用來建構精確化指揮控制系統。 「藍軍追蹤」系統有力支撐著美軍形成地面戰場網路化資訊優勢,有效解決了「我、友、敵在哪裡」的難題。

軍隊依托全球衛星網路的導航定位和位置報告兩大服務,實現了戰場態勢監視共享,成為軍隊「知己」的重要手段。同時,優化了作戰行動流程,實現了作戰指令分秒下達,加速了軍隊指揮控制方式向「一體化」「扁平化」方向發展。

為武器彈藥精確打擊提供增效利器。在智慧化戰場上,精確導引武器已成為關乎勝負的「撒手鐧」。使用衛星導航系統,能對飛彈的飛行過程進行全程修正,確保命中精度。可以說,衛星導航系統是武器平台精準打擊的增效利器。

在近幾場局部戰爭中,美軍GPS精確導引武器比例不斷攀升:1991年海灣戰爭為7.6%,1999年科索沃戰爭為35%,2001年阿富汗戰爭為60%,2003年伊拉克戰爭為68.3%,2018年敘利亞戰爭達100%。

智慧化戰場需要衛星導航有新的“擔當”

現代衛星導航系統作為精確統一時空體系的核心與基石,面向未來智慧化戰場的發展需求,要有新的「擔當」。

智能化時代,以「AI、雲、網、群、端」為代表的全新作戰要素,將重建戰場生態,完全改變戰爭的勝利機制。衛星導航服務,需要適應智慧化戰場維度更廣、精準度更高、系統更強的特性。

導航定位授時範圍更廣精度更高。目前的衛星導航系統,實現了地球表面覆蓋。但在智慧化戰場上,需要向深空、海下延伸。作戰時域空域更廣,要求建構覆蓋陸海空天、基準統一、高效智慧的綜合服務體系,形成無時不有、無所不在的時空資訊覆蓋,實現更強大、更安全、更可靠的時空服務能力。

如智慧化戰場上,無人化作戰成為基本形態。無人車自動駕駛、無人機精密進場、智慧飛彈陣地測量等,都迫切需要在現有導航精度基礎上再提升一個量級,確保導航完好性更高、首次定位時間更快、陸海空天跨域能力更強。

軍事導航對抗體系更全更給力。資訊時代的導航對抗手段,是以訊號能量增強與幹擾攻擊為主的簡單對抗形態。智慧時代的導航與探測、感知、通訊、指揮、決策相互交織影響,需要全球任意區域、功率更高、生效更快的導航能力水平,需要導航訊號智慧調整能力,需要發展量子導航、脈衝星導航、深海導航等多元導航手段,把不同原理、不同方式、不同載體的導航方法融合在一起,實現體系級、系統級的導航對抗能力。

導航資訊互動頻寬更大存取更廣。智慧時代的網路空間,在作戰體系中地位作用逐步上升,並與導航時空體系合為一體。提供時空位置的導航資訊與網路空間系統,將把分散的作戰力量、作戰要素連結為一個整體,形成網路化體系化作戰能力。這就需要支援泛在感知、左右協作、可信賴的導航能力,支援高可靠、強抗干擾、隨遇接取的訊號通道,及時取得所需的地理、地圖和影像等導航輔助資訊。在此基礎上,實現真正意義上的通訊導航一體化,達到「一域作戰、多域支援」效果。

適應軍事智慧化發展需要推動智慧導航體系建設

從世界軍事強國發展趨勢來看,面向未來智慧化戰場,智慧導航系統在逐步建構天地一體化的時空基準網和導航資訊服務網,以天基化、體系化、按需化、雲端化為主要特徵,形成基準統一、覆蓋無縫、安全可信、高效便捷、實戰性強的綜合導航定位授時體系。

從基本導航系統轉變為智慧導航系統,其核心是從“定位導航服務”升級為“智慧導航服務”,並專注於以下4個面向轉變:

時空基準依賴地面系統維持轉變為時空基準天基自主維持。地面系統時空基準維持設備將逐步向星上轉移,衛星將配置更高精度的光鐘、天文測量設備,透過高精度錨固和雷射星間測量,形成更穩定可靠的天基空間基準。智慧導航系統的使用,可使一般導航定位精度達到亞米級,授時精度將提升5倍左右,精密定位服務達到快速收斂的公分精度。智慧導航可完整支撐作戰平台跨域融合、分散式殺傷武器效能倍增、空天一體無人機從巡航到精密進場的全過程精準導航。

衛星功率對抗模式向導航體系化對抗轉變。在導航對抗服務方面,傳統的衛星功率對抗模式將不再滿足智慧化戰場需求,導航體系化對抗是智慧裝備發展的必經之路,以便提升部隊快速適應戰場環境能力。具體包括導航性能精準釋放、星座異構備份、全球熱點機動,主要特徵是導航訊號智能化、戰區增援靈活化。基於可控制點波束能量增強技術,實現熱點區域能量傳遞、增強區域擴展、欺騙或阻塞幹擾、數傳服務保障。在高幹擾阻塞環境下,確保服務連續性和精確度,並隨著戰事進程逐步釋放實力。

通訊導航簡單整合向通導一體按需服務轉變。將提供更深更廣的導航資訊服務,深度融入軍事資訊網絡,向陸、海、空、天用戶的高、中、低速分類分層次導航資訊服務。重複利用導航衛星全球多重連續覆蓋的有利條件,滿足用戶在全球範圍、任意姿態的通導需求,實現高可靠性、抗強幹擾的搜救、位置報告、信令傳輸。導航衛星天基網路與地面網路資訊交互,建構星間、星地高速骨幹網路。透過小型化雷射終端和增強型空間路由器,形成穩定可靠的空間網絡,裝載完備、標準統一的協議體系,支援混合星座網絡自主智慧運作。

載重模組運算資源分離向星座運算資源雲端化轉變。將提供更智慧的天基雲端運算服務,為智慧武器平台提供可信賴的天基智慧支撐。主要特徵是,星載硬體資源虛擬化、任務負載平衡化。透過導航衛星配置公用的星載運算模組、大容量儲存單元、高速匯流排網絡,形成泛在的空間網路共享資源池。強大的資料處理能力,在支撐天基時空基準自主建立與維持、導航訊號品質智慧維持、空間網路自主管理等任務功能的同時,可為天、空、地、海各類高階用戶,提供空間位置等複雜資訊的運算、推播與儲存服務。

(作者係中國工程院院士)

上圖:衛星導航系統支援作戰示意圖。

中國原創軍事資源:http://www.81.cn/jfjbmap/content/2021-11/12/content_30291788.htm

Brief Analysis on the Development of Chinese Military Intelligent Command Information Systems

淺析我軍智慧指揮資訊系統發展

現代英語:

The prelude to the era of intelligent warfare has begun. Command information systems with intelligent characteristics will become the “central nerve” of future intelligent combat command and control, and are the supporting means of intelligent combat command and control. Accelerating the construction of intelligent command information systems is an inherent requirement for the development of military intelligence. Only by clarifying the development essentials of intelligent command information systems, grasping the key points of intelligent command information system research and development, and exploring the key points of intelligent command information system development can we better promote the construction and development of intelligent command information systems and gain the upper hand in future intelligent combat.

Clarify the key points of developing intelligent command information system

Intelligent command information system is the inevitable choice for the development of war form towards information-based intelligent warfare, the inevitable result of the development of scientific and technological revolution, and the era’s call for the development of military intelligence. Clarifying the development essentials of intelligent command information system will help to guide the construction direction of intelligent command information system and establish the long-term goal of system development.

Promote the intelligent evolution of war. In the future intelligent warfare, the battlefield situation is changing rapidly and the battlefield environment is complex and severe. In order to take the initiative on the battlefield, “control of intelligence” has become a new commanding height, and the intelligent command information system is undoubtedly an important means of supporting future combat command and action. Its intelligent development can promote the evolution of war to intelligence, and is an important support for intelligent warfare to gain the initiative and seek victory.

Support intelligent innovation of combat concepts. Future intelligent combat requires a combat command concept that is compatible with it, and the intelligent command information system is an important support for the practical application of the combat command concept, and is the soil for the innovation and development of the intelligent combat command concept. New intelligent combat command concepts such as human-machine hybrid command formation, data-driven command activities, open development command mode, and intelligent force-focused command process are inseparable from the support of the intelligent command information system. The intelligent command information system will serve as the extension of the human brain, breaking through the physiological limits of the human body and realizing the organic integration of combat command art and intelligent technology.

Promote the intelligent transformation of combat methods. The widespread application of artificial intelligence technology in the military field has brought about major changes in the combat victory mechanism. Intelligence has surpassed firepower and information power and has become the primary factor in determining the outcome of a war. The construction and development of intelligent command information systems will promote the transformation of combat methods to intelligence, making the combat methods change from “combat networks + precision-guided weapons” in the information age to “intelligent Internet of Things + manned/unmanned combat platforms” in the intelligent age, and the basic combat style will evolve from “network-centric warfare” to “cognitive-centric warfare” accordingly.

Grasp the key points of intelligent command information system research and development

The command information system is a product of the information warfare era. With the rapid development of military intelligence and the research and practical application of intelligent combat winning mechanisms, the intelligent upgrade of the command information system is imminent. We should highlight the key points of functional research and development and create a new intelligent command information system.

“Super-brainization” assists decision-making. In the future intelligent warfare, the amount of battlefield information data is huge and complex and changeable. Commanders are easily trapped in the “sea of ​​information” during the command process, resulting in information confusion and affecting command decisions. With the emergence of intelligent decision-making technology and “cloud brain” and “digital staff”, a new decision-making model based on the collaboration of “human brain + artificial intelligence” is quietly taking shape. The intelligent command information system will break through the limits of human intelligence, as an extension of the human brain, assist the commander’s work, and develop war decisions from simple human brain decisions to “human brain + artificial intelligence” super-brainized command decisions.

“Full-dimensional” situational awareness. In future intelligent combat, the space will be multi-dimensional, the forces will be diversified, the styles will be diverse, and the pace will be accelerated. Comprehensive and flexible grasp of battlefield situations will become the basis for commanders to make decisions, and multi-domain integration and intelligent dynamic presentation of full-dimensional battlefield situations will become an inevitable requirement for the construction and development of command information systems. The command information system’s perception, understanding, integration and prediction of battlefield situations such as target identification, threat level estimation, combat action prediction and future war situation prediction are expanding from land, sea, air, space, electromagnetic, network and other spaces to cognitive and social domains, realizing “full-dimensional” situational awareness.

“Intelligent” network communication. In the future, intelligent warfare will use a large number of intelligent command and control platforms and intelligent weapon platforms, and the intelligent information and communication system must be connected to the command and control platform and the weapon platform. Like the nerves and blood vessels of the human body, the intelligent information and communication system plays a linking and lubricating role in intelligent warfare. Therefore, it is necessary to establish an intelligent information network with full-dimensional coverage and uninterrupted communication to support the connection and control of intelligent equipment, form intelligent optimization of network structure, intelligent reorganization of network anti-destruction, and intelligent anti-interference capabilities, so as to ensure intelligent collaborative operations between platforms and exert the best overall combat effectiveness.

“Unmanned” autonomous collaboration. In recent local conflicts around the world, drones have been used in large numbers and have played an important role in determining the direction of war, which has attracted widespread attention from all parties. Unmanned weapons and equipment are the material basis of intelligent warfare, and have formed disruptive combat styles based on this, such as invasive lone wolf warfare, manned/unmanned collaborative system sabotage warfare, unmanned system formation independent warfare, and drone swarm cluster warfare. Although unmanned warfare is led by humans, machines are given a certain degree of autonomous action authority in the background, thereby realizing unmanned combat operations on the front line. However, the unmanned battlefield is changing rapidly, and the destruction of human-machine collaboration will become the norm. The command and control system of the unmanned intelligent equipment platform must be more intelligent and be able to conduct autonomous and coordinated combat according to the purpose of the operation.

“Active” information defense. Intelligent warfare will inevitably face all-dimensional and diverse information attacks from powerful enemies. The level of information security protection capabilities directly affects the outcome of the “intellectual power” struggle on the battlefield and is a key link in the construction of intelligent command information systems. Therefore, we should take the initiative to actively formulate and improve network protection strategies, enrich intrusion detection capabilities and authentication and identification methods, strengthen the application of high-tech information security technologies, strengthen the anti-interference and anti-intervention capabilities of various wireless transmission methods, and strengthen intelligent traceability and countermeasure capabilities to effectively curb information attacks.

Exploring the key to the development of intelligent command information system

The development of intelligent command information system is not only a technological innovation, but also requires further emancipation of mind and updating of concepts. To promote the development of intelligent command information system, we must change the traditional idea of ​​adding hardware, building a large “network”, collecting and storing various types of data, break through the inherent hierarchical settings, create an open and service-oriented system, aim at the needs of intelligent combat command and action, and explore and study the key points of the development of intelligent command information system.

Innovative concepts. Adhere to the guidance of innovative thinking concepts, learn from the development ideas of intelligent command information systems of military powers, combine actual needs, and explore a development path with its own characteristics. We must break the traditional “building chimneys” approach, adhere to the top-level design and overall planning of command information systems, unify interfaces, protocols and standards, and form an open and sustainable system architecture layout; adhere to the system development ideas that combine research, construction and use, formulate short-term, medium-term and long-term development strategies, and standardize the direction of system construction and development; adhere to iterative upgrades and optimization and improvement strategies, and continuously improve the intelligence level of various subsystems such as command control, intelligence reconnaissance, communications, information confrontation and comprehensive support, to ensure the continuous and healthy development of intelligent command information systems.

Focus on the key. Focusing on the construction of key capabilities of intelligent command information systems is an important support for intelligent warfare to gather intelligence and win with intelligence, and is the key to intelligent warfare to gain the “right to win”. Algorithms, computing power, and data are not only the internal driving force and support for the development of artificial intelligence, but also the core capability requirements and advantages of intelligent command information systems. The development of intelligent command information systems must adhere to algorithm innovation research to improve the system’s cognitive advantages, speed advantages, and decision-making advantages; accelerate the research and development of the next generation of computers represented by quantum computers to provide stronger computing power support for intelligent command information systems; deeply explore the deeper and wider dimensional information value in massive combat data resources to seek the initiative to win.

Gather wisdom to tackle key problems. The construction and development of intelligent command information systems is one of the main projects of military intelligence. It is a multi-domain, multi-disciplinary, multi-departmental and multi-unit integrated and coordinated project. The construction and development of intelligent command information systems must adhere to the spirit of collective wisdom, collective wisdom, pioneering and innovation, aiming at strategic forward-looking fields such as sensors, quantum information, network communications, integrated circuits, key software, big data, artificial intelligence, and blockchain, and insist on high-tech promotion and intelligent combat demand. Carry out in-depth research and exchanges in multiple fields, multiple levels, and multiple forms, continuously break through innovation, iterative upgrades, and make the intelligent command information system more complete and more intelligent.

Collaborative development. To further promote the construction and development of intelligent command information systems, we must fully absorb local advanced technological achievements and integrate into the era of innovation and development of artificial intelligence in the world. At present, the world’s artificial intelligence technology is booming, accumulating strong development momentum and technological advantages. Artificial intelligence technology has strong versatility in application and broad prospects for the transformation and application of technological achievements. It is an important way to achieve the construction and development of intelligent command information systems. We must study and formulate general technical standards, remove barriers, break the ice, facilitate military-civilian cooperation, and realize the sharing and linkage of technological achievements. We must cultivate and shape new military talents through collaboration, so that they can constantly adapt to the needs of various positions under intelligent conditions and give full play to the effectiveness of intelligent command information systems.

現代國語:

來源:解放軍報 作者:李建平 紀鳳珠 李琳 責任編輯:王鳳 2022-08-09 12:40

智慧化戰爭時代序幕已經拉開,具有智慧化特徵的指揮資訊系統將成為未來智慧化作戰指揮的“中樞神經”,是智慧化作戰指揮控制的支撐手段。加速智慧化指揮資訊系統建設是軍事智慧化發展的內在要求,只有明晰智能化指揮資訊系統發展要義,抓住智慧化指揮資訊系統研發要點,探索智能化指揮資訊系統發展要津,才能更好地推動智能化指揮資訊系統建設發展進程,贏得未來智能化作戰制勝先機。

明晰智能化指揮資訊系統發展要義

智慧化指揮資訊系統是戰爭形態朝向資訊化智能化戰爭發展的必然選擇,是科技革命發展的必然結果,也是軍事智能化發展的時代訴求。明晰智能化指揮資訊系統發展要義,有助於把脈智能化指揮資訊系統建設方向,確立系統發展長遠目標。

助推戰爭形態智能化演進。未來智能化作戰,戰場形勢瞬息萬變、戰場環境復雜嚴酷,要想在戰場上取得主動,「制智權」成為新的製高點,而智能化指揮資訊系統無疑是未來作戰指揮和行動的重要支撐手段,其智能化發展可助推戰爭形態向智能化演變,是智能化作戰贏得先機、謀求勝利的重要依托。

支撐作戰理念智能化創新。未來智慧化作戰,需要與之相適應的作戰指揮理念,而智慧化指揮資訊系統是作戰指揮理念實踐運用的重要依托,是智慧化作戰指揮理念創新、發展的土壤。如人機混合指揮編組、數據驅動指揮活動、開放發展指揮模式、智能聚力指揮過程等智能化作戰指揮新理念,都離不開智能化指揮信息系統的支撐,智能化指揮信息系統將作為人腦的外延,突破人體生理極限,實現作戰指揮藝術和智能技術的有機融合。

促進作戰方式智能化轉變。人工智慧技術在軍事領域的廣泛應用,使得作戰制勝機理發生重大變化,智慧超越火力、資訊力,成為決定戰爭勝負的首要因素。智慧化指揮資訊系統建設發展將促進作戰方式向智慧化轉變,使得作戰方法從資訊時代的「作戰網絡+精確制導武器」向智慧時代的「智慧物聯網+有人/無人作戰平台」轉變、基本作戰樣式相應地從「網絡中心戰」向「認知中心戰」演進。

抓住智慧化指揮資訊系統研發點

指揮資訊系統是資訊化戰爭時代的產物,隨著軍事智慧化的快速發展、智慧化作戰制勝機理的研究和實踐運用,指揮資訊系統智慧化升級建設迫在眉睫。應突顯功能研發點,打造全新智慧化指揮資訊系統。

“超腦化”輔助決策。未來智能化作戰,戰場資訊數據量龐大且複雜多變,指揮員在指揮過程中易陷入「資訊海洋」而導致資訊迷茫,影響指揮決策。隨著智慧輔助決策技術和「雲端大腦」「數字參謀」的出現,以「人腦+人工智慧」協作為基本方式的新決策模式正悄悄形成。智慧化指揮資訊系統將突破人類智力極限,作為人腦的外延,輔助指揮員工作,使戰爭決策由單純的人腦決策發展為「人腦+人工智慧」的超腦化指揮決策。

「全維化」態勢感知。未來智能化作戰,空間多維、力量多元、樣式多樣、節奏加快趨勢突出,全面靈動地掌握戰場態勢成為指揮員決策的基礎,多域一體、智能動態地呈現全維戰場態勢成為指揮資訊系統建設發展必然要求。指揮資訊系統對諸如目標識別、威脅等級估計、作戰行動預判和未來戰況走向預估等戰場態勢的感知、理解、融合和預測,正在從陸、海、空、天、電磁、網絡等空間擴展至認知域、社會域,實現「全維化」態勢感知。

「智聯化」網絡通聯。未來智慧化作戰將使用大量智慧指揮控制平台和智慧化武器平台,而連接指揮控制平台和武器平台的必然是智慧化的資訊通訊系統。如同人體的神經和血管,智慧化的資訊通訊系統在智慧化作戰中扮演連結和潤滑作用。因此,要建立全維度覆蓋、不間斷的智慧化資訊網絡,支撐智慧化裝備的連結和控制,形成網絡結構智能優化、網絡抗毀智能重組以及智能抗干擾能力,以確保平台間智能化的協同作戰,發揮最佳的整體作戰效能。

「無人化」自主協同。近期世界局部沖突中,無人機大量運用並起到決定戰爭走向的重要作用,引起了各方的廣泛關注。無人化武器裝備是智慧化作戰的物質基礎,並依此形成了顛覆式作戰樣式,如侵入式獨狼作戰、有人/無人協同體系破擊作戰、無人系統編隊獨立作戰、無人機蜂群集群作戰等。無人作戰雖是由人主導,並在後台賦予機器一定程度的自主行動權限,從而實現機器在一線無人作戰行動。然而無人作戰戰場瞬息萬變,人機協同被破壞將成為常態,無人智慧化裝備平台指控系統必須更加智慧,要能根據作戰目的進行自主協同作戰。

“主動化”訊息防禦。智慧化作戰必將面臨強敵全維多樣的資訊攻擊,資安防護能力的高低,直接影響戰場「制智權」鬥爭的勝負,是智慧化指揮資訊系統建設的關鍵環節。因此,應主動作為,積極制定及完善網絡防護策略,豐富入侵檢測能力及認證識別手段,加強資訊安全高新技術運用,強化各類無線傳輸方式的抗干擾、抗介入能力,建強智能化溯源反制能力,有效遏止資訊攻擊。

探索智慧化指揮資訊系統發展要津

智慧化指揮資訊系統發展不單單是技術的革新,更需要進一步解放思想、更新理念。推動智慧化指揮資訊系統發展,要改變傳統添硬體、建大「網」、收集存儲各類數據的思路,突破固有層級設定,打造開放式、服務型系統,瞄準智能化作戰指揮與行動需要,探索研究智能化指揮資訊系統發展要津。

創新理念。堅持以創新的思維理念為指引,借用軍事強國智慧化指揮資訊系統發展思路,結合實際需求,探索具有自身特色的發展道路。要打破傳統「樹煙囪」做法,堅持指揮資訊系統頂層設計和整體規劃,統一介面、協議和標準,形成開放式、可持續發展的系統架構佈局;堅持研建用相結合的系統研發策略,制定近期、中期、長期不同階段發展策略,規範系統建設發展方向;堅持迭代升級、優化持續策略,不斷提升指揮、長期不同階段發展策略,規範系統建設發展方向;堅持迭代升級、優化持續性策略,不斷提升指揮控制、長期不同階段發展策略、各分列系統建設發展方向;堅持版本

聚力關鍵。聚力智能化指揮資訊系統關鍵能力建設,是智慧化作戰以智聚優、以智制勝的重要依托,是智慧化作戰取得「制勝權」的關鍵。演算法、算力、數據既是人工智慧發展的內在動力和支撐,也是智慧化指揮資訊系統的核心能力要求和優勢。智慧化指揮資訊系統發展要堅持演算法創新研究,提高系統認知優勢、速度優勢和決策優勢;加快量子計算機等為代表的下一代計算機研發,為智能化指揮信息系統提供更強的算力支持;深度挖掘海量作戰數據資源中更深層次、更廣維度信息價值,謀求制勝先機。

集智攻關。智慧化指揮資訊系統建設發展是軍事智慧化的主要工程之一,是一個多領域、多學科交叉,多部門、多單位參與的大融合大聯動的攻堅工程。智慧化指揮資訊系統建設發展要堅持群策群力、集智攻關、開拓創新的精神,瞄準傳感器、量子信息、網絡通信、集成電路、關鍵軟件、大數據、人工智能、區塊鍊等戰略性前瞻領域,堅持高新技術推動、智能化作戰需求拉動,開展多領域、多層次、多形式深度研究交流,更加創新、進一步迭代創新

協作發展。深入推動智慧化指揮資訊系統建設發展,必須充分吸收地方先進技術成果,融入世界人工智慧創新發展的時代洪流。當前,世界人工智慧技術蓬勃發展,積蓄了強大發展動能和技術優勢,人工智慧技術應用通用性強,技術成果轉化應用前景廣闊,是智慧化指揮資訊系統建設發展的重要實現途徑。要研究制定通用技術標準,拆壁壘、破堅冰、暢通軍地合作,實現技術成果共享連結。要透過協作培養塑造新型軍事人才,使其不斷適應智慧化條件下各類崗位需求,充分發揮智慧化指揮資訊系統效能。

中國原創軍事資源:http://www.mod.gov.cn/gfbw/jmsd/491773588.html?

Artificial Intelligence Will Profoundly Change the Face of Chinese Intelligentized Warfare

人工智慧將深刻改變中國智慧化戰爭面貌

現代英語:

Defeating dozens of top Go players in a man-machine battle, defeating a retired US Air Force pilot in a simulated air combat… In recent years, artificial intelligence has been like an omnipotent “magician”, creating endless miracles, shocking many people and constantly refreshing people’s imagination.

As a technical science dedicated to simulating, extending and expanding human intelligence, artificial intelligence has long surpassed scientists’ initial imagination and entered a “booming period” of rapid development. It is profoundly changing the way of production and life of human beings, and promoting the social form to accelerate from digitalization and networking to intelligence. At the same time, the widespread use of artificial intelligence technology in the military field will fundamentally change the winning mechanism and combat methods of modern warfare, give birth to new combat means and combat ideas, and promote the war form to accelerate into the intelligent era.

In intelligent warfare, intelligent equipment, intelligent command, intelligent maintenance, and intelligent combat methods are all conceivable – “fake news” created by artificial intelligence is everywhere in the entire process of war preparation, conduct and conclusion, and it is “false and true”; the role of inanimate intelligent entities and robot fighters in intelligent warfare is prominent, and artificial intelligence combat forces such as “cloud brain”, “digital staff” and “virtual warehouse” used for information support, command and control, effect evaluation and logistics support will play an increasingly important role in future wars. Intelligent machines and intelligent weapons will become the main force on future battlefields; remote and precise Specific, miniaturized, and large-scale unmanned attacks will become the main form of attack. “Man-to-man” warfare will expand to “machine autonomous warfare” warfare; intelligent swarm attrition warfare, cross-domain mobile warfare, and cognitive control warfare will become basic combat types; decentralized deployment of humans and machines, autonomous coordination, and concentrated energy offensive and defensive operations will become the basic principles of cross-domain integration and global operations; the “observation-judgment-decision-action” link will be greatly shortened, the combat rhythm will be faster, the actions will be more precise, and the efficiency will be higher; upgrading and training artificial intelligence systems and various unmanned combat platforms through continuous confrontation exercises will become an important way to enhance combat effectiveness. Intelligence will surpass firepower, mobility, and information power and become the most critical factor in determining the outcome of a war. As a result, the meaning of battlefield control will need to be redefined, new topics will be added to international arms negotiations, and textbooks on intimidation theory will need to be rewritten.

The world’s military powers, represented by the United States, have foreseen the broad application prospects of artificial intelligence technology in the military field. They believe that future wars will be intelligent wars and future arms competitions will be intelligent competitions. They have also laid out a series of research plans in advance, hoping to seize the initiative in the military application of artificial intelligence and strive to open up a “generation gap” with potential opponents. In recent years, NASA, the Department of Defense and various military services have deployed a series of artificial intelligence technology research projects in the military field. The U.S. Department of Defense has also proposed the establishment of a “Joint Artificial Intelligence Center” to jointly promote artificial intelligence projects with the U.S. military and 17 intelligence agencies, and coordinate the planning and construction of an intelligent military system supported by military technology and military applications. Russia also sees artificial intelligence as the commanding heights of future military competition. The Russian military is stepping up the development of humanoid robots that can drive vehicles and build robot troops that can fight side by side with human soldiers. Russian President Vladimir Putin said: “Artificial intelligence is not only the future of Russia, but also the future of all mankind. It contains huge opportunities and threats that are difficult to predict today.” Countries such as the United Kingdom, Japan, Australia, South Korea, and India are also increasingly paying attention to the development and application of artificial intelligence in the military field.

Today, the pace of military application of artificial intelligence may be difficult to stop. Faced with the new situation, we need to firmly grasp the major historical opportunities for the development of artificial intelligence, judge the general trend, take the initiative to plan, grasp the direction, seize the initiative, and effectively safeguard national security. At the same time, from the perspective of the future and destiny of mankind, the international community should establish a mechanism to prevent the excessive military application of artificial intelligence as soon as possible. After all, the power of human beings to create civilization should not become a tool to destroy civilization, and scientific and technological progress should be a blessing for the benefit of mankind, rather than a death knell that threatens human survival and development.

(Author’s unit: Academy of Military Science)

現代國語:

來源:解放軍報 作者:遊光榮 責任編輯:喬楠楠 2018-10-17 09:00

遊光榮

在人機大戰中擊敗數十名頂級圍棋高手、在模擬空戰中擊敗美國空軍退役飛行員……近年來,人工智慧猶如萬能的“魔法師”,創造了層出不窮的奇跡,在驚掉不少人下巴的同時,也不斷刷新著人們的想像。

作為一門致力於模擬、延伸和擴展人的智慧的技術科學,人工智慧早已超越了科學家最初的想像,進入了一個高速發展的“井噴期”,正在深刻改變人類的生產生活方式,推動社會形態從數字化、網絡化向智能化加速躍升。同時,人工智慧技術在軍事領域的廣泛運用,將從根本上改變現代戰爭制勝機理和作戰方式,催生新的作戰手段和作戰思想,推動戰爭形態加速邁入智能化時代。

在智慧化戰爭中,智慧化裝備、智慧化指揮、智慧化維修、智慧化作戰方式都是可以想像的——人工智慧製造的「虛假新聞」在戰爭準備、進行和結束的全過程中無處不在,而且「以假亂真」;無生命智能體、機器人戰鬥員在智慧化戰爭中的作用凸顯,用於資訊支援、指揮控制、效果評估、後勤保障的「雲大腦」「數字參謀」「虛擬倉儲」等人工智慧作戰力量將在未來戰爭中發揮越來越重要的作用,智慧機器和智慧武器將成為未來戰場的主力軍;遠程化、精已知、小型化、大規模無人攻擊將成為主要進攻形式,「人對人」的戰爭將向「機器自主作戰」的戰爭拓展;智慧化的蜂群消耗戰、跨域機動戰、認知控制戰將成為基本作戰類型;人機分散部署、自主協同、集中能量攻防作戰,成為跨域融合、全域作戰的基本準則;「觀察-判斷-決策-行動」連結大幅縮短,作戰節奏更快速、行動更精準、效率更高;透過持續的對抗演習對人工智慧系統和各類無人作戰平台的升級訓練,將成為戰鬥力提升的重要方式。智能將超越火力、機動和資訊力,成為決定戰爭勝負的最關鍵因素。隨之而來的是,戰場控制權的內涵將需要重新界定,國際軍備談判將增加新主題,威懾理論的教科書也將改寫。

以美國為代表的世界軍事強國,預見到人工智慧技術在軍事領域的廣闊應用前景,認為未來的戰爭將是智能化戰爭、未來的軍備競賽將是智能化競賽,並已提前佈局了一系列研究計劃,希望搶佔人工智能軍事化應用先機,力求與潛在對手拉開“代差”。近年來,美國國家航空暨太空總署、國防部和各軍種在軍事領域部署了一系列人工智慧技術研究項目,美國國防部還提出建立“聯合人工智慧中心”,計劃聯合美軍和17家情報機構共同推進人工智慧項目,統籌規劃建設以軍事技術和軍事應用為支撐的智能化軍事體系。俄羅斯也視人工智慧為未來軍事競爭的製高點,俄軍正加緊研發可以駕駛車輛的類人機器人、組建可與人類戰士並肩戰鬥的機器人部隊。俄總統普丁提出:「人工智慧不僅僅是俄羅斯的未來,也是全人類的未來。這包含著巨大的機會和當今難以預測的威脅。」英國、日本、澳洲、韓國、印度等國家也日益重視人工智慧在軍事領域的發展和應用。

現今,人工智慧軍事化應用步伐或許難以阻止,面對新形勢,我們需要牢牢掌握人工智慧發展的重大歷史機遇,研判大勢、主動謀劃、把握方向、搶佔先機,有效維護國家安全。與此同時,從人類自身前途命運出發,國際社會應該早日建立防止人工智慧在軍事上過度應用的機制。畢竟,人類創造文明的力量不應該成為毀滅文明的工具,科技進步應該成為造福人類的福音,而不是成為威脅人類生存與發展的喪鐘。

(作者單位:軍事科學院)

中國原創軍事資源:http://www.mod.gov.cn/gfbw/jmsd/482689288.html?

China’s position paper on regulating military applications of artificial intelligence

中國關於規範人工智慧軍事應用的立場文件

現代英語:

The rapid development and widespread application of artificial intelligence technology are profoundly changing human production and lifestyles, bringing huge opportunities to the world while also bringing unpredictable security challenges. It is particularly noteworthy that the military application of artificial intelligence technology may have far-reaching impacts and potential risks in terms of strategic security, governance rules, and moral ethics.

AI security governance is a common issue facing mankind. With the widespread application of AI technology in various fields, all parties are generally concerned about the risks of AI military applications and even weaponization.

Against the backdrop of diverse challenges facing world peace and development, all countries should uphold a common, comprehensive, cooperative and sustainable global security concept and, through dialogue and cooperation, seek consensus on how to regulate the military applications of AI and build an effective governance mechanism to prevent the military applications of AI from causing significant damage or even disasters to humanity.

Strengthening the regulation of the military application of artificial intelligence and preventing and controlling the risks that may arise will help enhance mutual trust among countries, maintain global strategic stability, prevent an arms race, alleviate humanitarian concerns, and help build an inclusive and constructive security partnership and practice the concept of building a community with a shared future for mankind in the field of artificial intelligence.

We welcome all parties including governments, international organizations, technology companies, research institutes and universities, non-governmental organizations and individual citizens to work together to promote the safe governance of artificial intelligence based on the principle of extensive consultation, joint construction and sharing.

To this end, we call for:

– In terms of strategic security, all countries, especially major powers, should develop and use artificial intelligence technology in the military field with a prudent and responsible attitude, not seek absolute military advantage, and prevent exacerbating strategic misjudgments, undermining strategic mutual trust, triggering escalation of conflicts, and damaging global strategic balance and stability.

– In terms of military policy, while developing advanced weapons and equipment and improving legitimate national defense capabilities, countries should bear in mind that the military application of artificial intelligence should not become a tool for waging war and pursuing hegemony, and oppose the use of the advantages of artificial intelligence technology to endanger the sovereignty and territorial security of other countries.

– In terms of legal ethics, countries should develop, deploy and use relevant weapon systems in accordance with the common values ​​of mankind, adhere to the people-oriented principle, uphold the principle of “intelligence for good”, and abide by national or regional ethical and moral standards. Countries should ensure that new weapons and their means of warfare comply with international humanitarian law and other applicable international law, strive to reduce collateral casualties, reduce human and property losses, and avoid the misuse of relevant weapon systems and the resulting indiscriminate killing and injury.

– In terms of technical security, countries should continuously improve the security, reliability and controllability of AI technology, enhance the security assessment and control capabilities of AI technology, ensure that relevant weapon systems are always under human control, and ensure that humans can terminate their operation at any time. The security of AI data must be guaranteed, and the militarized use of AI data should be restricted.

– In terms of R&D operations, countries should strengthen self-discipline in AI R&D activities, and implement necessary human-machine interactions throughout the weapon life cycle based on comprehensive consideration of the combat environment and weapon characteristics. Countries should always insist that humans are the ultimate responsible party, establish an AI accountability mechanism, and provide necessary training for operators.

– In terms of risk management, countries should strengthen supervision of the military application of artificial intelligence, especially implement hierarchical and classified management to avoid the use of immature technologies that may have serious negative consequences. Countries should strengthen the research and judgment of the potential risks of artificial intelligence, including taking necessary measures to reduce the risk of proliferation of military applications of artificial intelligence.

——In rule-making, countries should adhere to the principles of multilateralism, openness and inclusiveness. In order to track technological development trends and prevent potential security risks, countries should conduct policy dialogues, strengthen exchanges with international organizations, technology companies, technology communities, non-governmental organizations and other entities, enhance understanding and cooperation, and strive to jointly regulate the military application of artificial intelligence and establish an international mechanism with universal participation, and promote the formation of an artificial intelligence governance framework and standard specifications with broad consensus.

– In international cooperation, developed countries should help developing countries improve their governance level. Taking into account the dual-use nature of artificial intelligence technology, while strengthening supervision and governance, they should avoid drawing lines based on ideology and generalizing the concept of national security, eliminate artificially created technological barriers, and ensure that all countries fully enjoy the right to technological development and peaceful use.

現代國語:

人工智慧技術的快速發展及其廣泛應用,正深刻改變人類生產和生活方式,為世界帶來巨大機會的同時,也帶來難以預測的安全挑戰。特別值得關注的是,人工智慧技術的軍事應用,在戰略安全、治理規則、道德倫理等方面可能產生深遠影響和潛在風險。

人工智慧安全治理是人類面臨的共同課題。隨著人工智慧技術在各領域的廣泛應用,各方普遍對人工智慧軍事應用甚至武器化風險感到擔憂。

在世界和平與發展面臨多元挑戰的背景下,各國應秉持共同、綜合、合作、可持續的全球安全觀,透過對話與合作,就如何規範人工智慧軍事應用尋求共識,建構有效的治理機制,避免人工智慧軍事應用為人類帶來重大損害甚至災難。

加強對人工智慧軍事應用的規範,預防和管控可能引發的風險,有利於增進國家間互信、維護全球戰略穩定、防止軍備競賽、緩解人道主義關切,有助於打造包容性和建設性的安全夥伴關係,在人工智慧領域實踐建構人類命運共同體理念。

我們歡迎各國政府、國際組織、技術企業、科研院校、民間機構和公民個人等各主體秉持共商共建共享的理念,協力共同促進人工智慧安全治理。

為此,我們呼籲:

——戰略安全上,各國尤其是大國應本著慎重負責的態度在軍事領域研發和使用人工智慧技術,不謀求絕對軍事優勢,防止加劇戰略誤判、破壞戰略互信、引發衝突升級、損害全球戰略平衡與穩定。

——在軍事政策上,各國在發展先進武器裝備、提高正當國防能力的同時,應銘記人工智慧的軍事應用不應成為發動戰爭和追求霸權的工具,反對利用人工智慧技術優勢危害他國主權和領土安全的行為。

——法律倫理上,各國研發、部署和使用相關武器系統應遵循人類共同價值觀,堅持以人為本,秉持「智能向善」的原則,遵守國家或地區倫理道德準則。各國應確保新武器及其作戰手段符合國際人道法和其他適用的國際法,努力減少附帶傷亡、降低人員財產損失,避免相關武器系統的誤用惡用,以及由此引發的濫殺。

——在技術安全上,各國應不斷提昇人工智慧技術的安全性、可靠性和可控性,增強對人工智慧技術的安全評估和管控能力,確保相關武器系統永遠處於人類控制之下,保障人類可隨時中止其運作。人工智慧資料的安全必須得到保證,應限制人工智慧資料的軍事化使用。

——研發作業上,各國應加強對人工智慧研發活動的自我約束,在綜合考慮作戰環境和武器特性的基礎上,在武器全生命週期實施必要的人機互動。各國應時常堅持人類是最終責任主體,建立人工智慧問責機制,對操作人員進行必要的訓練。

——風險管控上,各國應加強對人工智慧軍事應用的監管,特別是實施分級、分類管理,避免使用可能產生嚴重負面後果的不成熟技術。各國應加強對人工智慧潛在風險的研判,包括採取必要措施,降低人工智慧軍事應用的擴散風險。

——規則制定上,各國應堅持多邊主義、開放包容的原則。為追蹤科技發展趨勢,防範潛在安全風險,各國應進行政策對話,加強與國際組織、科技企業、技術社群、民間機構等各主體交流,增進理解與協作,致力於共同規範人工智慧軍事應用並建立普遍參與的國際機制,推動形成具有廣泛共識的人工智慧治理框架和標準規範。

——國際合作上,已開發國家應協助發展中國家提升治理水平,考慮到人工智慧技術的軍民兩用性質,在加強監管和治理的同時,避免採取以意識形態劃線、泛化國家安全概念的做法,消除人為製造的科技壁壘,確保各國充分享有技術發展與和平利用的權利。

中國原創軍事資源:https://www.mfa.gov.cn/web/wjb_673085/zzjg_673183/jks_674633/zclc_674645/rgzn/202206/t20220614_1070283888.shtml

Chinese Weaponization of Artificial Intelligence…Does Intelligent Warfare Enable China’s Military?

中國人工智慧武器化
智慧戰爭能否助力中國軍事發展?

現代英語:

Through the smoke of war, we can see that today’s war has evolved from the bloody fights of ignorant barbarism and the battles of conquering cities to the precise beheadings dominated by information and the fierce competition on the battlefield of intelligence. This objective fact tells us that war, as a specific complex social phenomenon, will present different war forms and winning mechanisms in different historical periods. As American futurist Alvin Toffler pointed out, “artificial intelligence is like the missiles and satellites before. Whether you are prepared or not, it will enter the historical stage of human civilization war.” President Xi Jinping clearly pointed out: “If we do not understand the winning mechanism of modern warfare, we will only be able to see through a mirror and miss the point.” The winning mechanism of war refers to the way in which various factors of war play a role in order to win the war, as well as the laws and principles of their mutual connection and interaction. Compared with the traditional information warfare, the winning mechanism of future intelligent warfare has undergone significant changes.

The confrontation mode has changed from “system confrontation” to “algorithm game”, and the algorithm advantage dominates the war advantage

Algorithms are strategic mechanisms for solving problems. In fact, “algorithms” are a series of clear instructions for solving problems, and are clear steps to solve a certain type of problem according to certain rules. In future wars, the side that has the advantage of algorithms will be able to quickly and accurately predict battlefield situations, innovate the best combat methods, and achieve the war goal of “winning before fighting.”

Algorithms are the key to dominating intelligent warfare. First, algorithmic advantage dominates cognitive advantage. After big data is processed by high-performance and efficient algorithms, massive amounts of data are quickly converted into useful intelligence. Therefore, the party with algorithmic advantage can dispel the “battlefield fog” caused by the failure to process data in a timely manner, making cognition more profound. Second, algorithmic advantage dominates speed advantage. Compared with classical algorithms, quantum algorithms have achieved an exponential acceleration effect. In addition, quantum computers have increased from 1 quantum bit in 2003 to 1,000 quantum bits in 2015, and their computing efficiency is 100 million times faster than that of classical computers, making artificial intelligence a qualitative leap. Third, algorithmic advantage dominates decision-making advantage. With its high-speed and accurate calculations, the algorithm replaces human “deep thinking” and repeated exploration, thereby accelerating knowledge iteration. Mastering super-powerful algorithms can quickly propose flexible and diverse combat plans and countermeasures in response to changes in the enemy’s situation, constantly disrupting the enemy’s established intentions and deployments.

Algorithms are the core of the leap in war effectiveness. First, wars are more efficient. With the support of algorithms, the reaction speed of artificial intelligence is hundreds or thousands of times that of humans. In 2016, the “Alpha” intelligent software developed by the United States reacted 250 times faster than humans and controlled a third-generation aircraft to defeat a manned fourth-generation aircraft in a simulated air battle. Second, war endurance is stronger. Artificial intelligence is not limited by physiological functions and can continuously perform repetitive and mechanical tasks. In September 2016, an F-16 fighter jet reached 8 times the gravity overload during training, causing the pilot to lose consciousness. However, before the aircraft hit the ground, the onboard “automatic collision avoidance system” automatically pulled the aircraft up, avoiding the tragedy. Third, the war ends better. With the support of massive data and supercomputing capabilities, AI’s judgment and prediction results are more accurate. The US military’s search and killing of Osama bin Laden, which combined manned and unmanned equipment, is a successful example.

The elements of combat are changing from “information-led” to “machine-led”, and machine-led combat is reshaping the combat process.

In the future, intelligent technology will penetrate all elements and processes of war. The Internet of Things, the Internet of Intelligence and the Internet of Brains will become the foundation of war. The four domains of physical domain, information domain, cognitive domain and social domain will be deeply integrated, making the battlefield holographically transparent, with humans controlling the war and no humans fighting on the battlefield. Intelligent weapons and equipment will reshape the combat process from “sensor to shooter”.

Smart eyes “detect”. “Detection” means intelligent intelligence detection. It can virtualize collaborative networking, self-organized dynamic scheduling, automatic multi-source intelligence mining, and order-based on-demand use of multi-dimensional sensors such as land, sea, air, space, and electricity, to the greatest extent possible to dispel the “war fog” caused by insufficient or redundant information and open the “smart eyes” to see through intelligent warfare.

Loop “control”. “Control” refers to intelligent command and control. Focusing on the core of decision-making advantage, the “man-in-the-loop” human-machine collaborative technology is used. According to the autonomy of the machine, three decision-making and control methods are adopted: “man-in-the-loop”, “man-on-the-loop” and “man-out-of-the-loop”, to form a comprehensive advantage with superior decision-making quality and action speed.

Intelligent “fighting”. “Fighting” means intelligent offensive and defensive operations. Relying on the advantages of system structure and algorithm, it mobilizes multi-dimensional, manned and unmanned combat platforms in real time, quickly couples combat forces, builds combat systems on demand, focuses on targets, and independently implements “distributed” and “swarm” collaborative operations. After the battle, it quickly decouples and waits for battle, so that the troops are in a state of flux and gather and disperse at random. At the end of 2015, Russia deployed 6 tracked unmanned combat vehicles, 4 wheeled unmanned combat vehicles and 1 drone to support the Syrian government forces in their assault on the strongholds of Islamic extremist forces, and won the world’s first offensive battle dominated by unmanned combat vehicles. About 70 extremist militants were killed in the battle, while only 4 Syrian government forces were injured.

The decision-making method changes from “human brain decision-making” to “intelligent decision-making”, and intelligent decision-making optimizes combat operations

With the emergence of intelligent decision-making technology and “cloud brain”, “digital staff” and “virtual warehouse”, war decision-making has evolved from simple human brain decision-making to human-machine hybrid decision-making, cloud brain intelligent decision-making and neural network decision-making.

Human-machine hybrid decision-making. Reasonable division of labor and interactive collaboration between humans and machines is the best solution to explore and solve problems. The advantages of the human brain lie in creativity, flexibility, and initiative; the advantages of machines lie in speed, high precision, and fatigue resistance. High-level decision-making and other highly artistic tasks are handled by the human brain, while big data calculations are completed by machines. Human-machine interaction enables machines to “listen” to human language, “see” human movements and expressions, and “understand” human emotions and intentions, and present the calculation process and results in a way that is easy for people to understand.

Cloud brain intelligent decision-making. In the future intelligent warfare, there will be a metaphorical center of “brain”, and distributed combat units will be linked through the cloud brain. This cloud brain is not only a physical information, physiological information and psychological information center, but also a military command center. Cloud brain decision-making is based on the intelligent “network, cloud, terminal” system. “Network” is an intelligent combat infrastructure network that integrates intelligent battlefield perception, decision-making and weapon control systems. “Cloud” is built on the “network” and is based on the intelligent resource service layer. It is not only a “resource pool” that integrates various combat resources, but also an “intelligent cloud” that provides intelligent services for combat operations. Due to the coupling of multiple centers, networking and decision-making can be quickly established even if it is bombarded with information. “End” refers to the combat resource end. The discrete intelligence and networked intelligence in the combat process can not only make autonomous decisions, but also provide distributed intelligent resources for the war system, enabling the new war system to emerge with collective intelligence.

Neural network decision-making. In July 2018, Russia developed fully automatic artificial neural network software that can destroy as soon as it is found. The intelligent decision-making tool developed by the US military aims to shorten the decision-making cycle and improve decision-making efficiency. The application of neural networks was once limited to tactical-level calculations, and it was difficult to make qualitative analysis and decisions on macroscopic and complex strategic situations. “AlphaGo” has made a breakthrough in the field of Go by simulating the working mechanism of human brain neural networks. In the future, the super self-evolution and strategic decision-making capabilities of deep neural networks will realize the “man-out-of-the-loop” combat cycle.

The combat style has changed from “breaking the chain and destroying the body” to “extreme combat”, which subverts traditional combat methods.

Extreme warfare has broken through the boundaries of traditional warfare, overturned traditional combat patterns, greatly increased the effectiveness of warfare, and brought about truly all-weather, all-time, all-dimensional, and all-domain intelligent warfare.

Break through the limits of human physiology and thinking. First, the combat space and domain are greatly expanded. In the future, intelligent combat will be three-dimensional, full-dimensional, and full-domain combat. The combat space will expand from the traditional space domain to the extremes of the polar regions, deep sea, and space, especially to the cognitive domain and information domain. Penetrate and penetrate other domains, and the combat domain will become more blurred. Second, the combat process is greatly accelerated. Unmanned autonomous combat greatly compresses the “observation-judgment-decision-action” cycle, and develops from the “instant destruction” of information warfare to the “instant destruction” of intelligent warfare. The victory of intelligent warfare is achieved by advancing the warning time, shortening the decision-making time, and extending the combat actions forward, so as to achieve the effect of preemptive layout and preemptive strike. Third, combat actions are extremely flexible. In intelligent warfare, artificial intelligence can propose extremely rich combat plans, and unmanned combat platforms can quickly switch between different functional roles, making combat actions more bold and adventurous, and tactics more unexpected. Even if one of the combat elements loses its function, the “decentralized” function will ensure that the group function is not affected.

Subvert the traditional combat style. The first is invasive lone wolf combat. That is, a single unmanned system fights independently. The second is manned and unmanned collaborative system sabotage warfare. That is, based on intelligent unmanned systems, through mixed combat with manned and unmanned equipment, the combat objectives can be quickly achieved. The third is the independent combat of unmanned system formations. Multiple unmanned systems constitute combat units, which can perform complex tasks such as multi-target attacks. The fourth is mother ship swarm cluster combat. With the mother ship as the transport carrier and command center, a manned and unmanned mixed cluster combat style is formed.

It has the combat effectiveness of “nuclear power”. Intelligent warfare has brought the characteristics and potential of intelligent robots to the extreme, resulting in combat effectiveness close to the limit. First, the target is small and difficult to detect. For example, miniaturized stealth robots are difficult to detect by radar and sound. The hybrid drone embedded with the “optical electrode” chip in the “Dragonfly” by the United States is smaller, lighter and more stealthy, with a flight time of up to several months. Second, it is difficult to confront and the cost is high. For example, a beetle-sized micro-drone can directly crash into the target’s head as long as it scans the human face, and the ammunition it carries is enough to penetrate the brain. Third, the cost is low and the damage is great. In the future, the use of intelligent weapons in extreme combat will have the power of nuclear weapons, especially the extremely large-scale intelligent weapon equipment, extremely low-cost robot automatic production, and extremely flexible robot swarm combat, which may surpass the maximization of nuclear weapon explosion power.

現代國語:

透過戰爭的硝煙,我們可以看到,今天的戰爭已經從蒙昧野蠻的血肉之搏、攻城略地的兵戎相見發展到信息主導的精確斬首、智域疆場的激烈角逐。這一客觀事實告訴我們,戰爭作為一種特定的複雜社會現象,在不同的歷史時期會呈現出不同的戰爭形態與制勝機理。正如美國未來學家托夫勒指出,「人工智慧就像先前的導彈、衛星一樣,無論你是否有所準備都將登上人類文明戰爭的歷史舞台」。 習主席明確指出:「如果不把現代戰爭的製勝機理搞清楚,那就『只能是看西洋鏡,不得要領』。」戰爭制勝機理,是指為贏得戰爭勝利,戰爭諸因素發揮作用的方式及相互聯繫、相互作用的規律和原理。未來智慧化戰爭與傳統意義上的資訊化戰爭相比,制勝機理發生了顯著變化。

對抗方式從「體系對抗」到「演算法博弈」轉變,演算法優勢主導戰爭優勢

演算法是求解問題的策略機制。實際上,「演算法」是一系列解決問題的清晰指令,是依照一定規則解決某一類問題的明確步驟。未來戰爭掌握演算法優勢的一方,能快速準確預測戰場態勢,創新最優作戰方法,實現「未戰而先勝」的戰爭目的。

演算法是主導智能化戰爭的關鍵。第一,演算法優勢主導認知優勢。大數據透過高效能、高效率的演算法進行處理後,將海量數據快速轉換為有用的情報。因此,佔有演算法優勢的一方,能驅散因數據得不到及時處理而產生的“戰場迷霧”,使得認知更為深刻。第二,演算法優勢主導速度優勢。量子演算法相較於經典演算法,實現了指數級的加速效果,再加上量子計算機從2003年的1位量子比特,到2015年1000位量子比特,計算效率比經典計算機快了一億倍,使人工智能實現了質的飛躍。第三,演算法優勢主導決策優勢。演算法以其高速、精確的計算,取代人的「冥思苦想」和反復探索,從而加速知識迭代。掌握超強演算法能夠針對敵情變化快速提出靈活多樣的作戰方案與應對之策,不斷打亂敵既定企圖與部署。

演算法是戰爭效能躍升的核心。一是戰爭效率更高。在演算法的支撐下,人工智慧的反應速度是人類的數百倍。 2016年,美國研發的「阿爾法」智慧軟件,反應速度比人類快250倍,在模擬空戰中操控三代機擊敗了有人駕駛的四代機。二是戰爭耐力更強。人工智慧不受生理機能限制,可連續執行重復性、機械性任務。 2016年9月,一架F-16戰機在訓練中達到8倍重力過載,導致飛行員失去知覺,然而,在飛機撞擊地面前,機載「自動防撞系統」自動將飛機拉起,避免了悲劇發生。三是戰爭結局比較好。在海量數據和超算能力支持下,人工智慧的判斷和預測結果更加準確。美軍尋找和捕殺賓拉登行動,有人和無人裝備的組合運用就是一個成功的戰例。

作戰要素從「資訊主導」轉變為「機器主戰」,機器主戰重塑作戰流程

未來智慧科技將滲透到戰爭全要素全過程。物聯網、智聯網與腦聯網成為戰爭的基礎,物理域、資訊域、認知域、社會域四域深度融合,使戰場全像透明,戰爭控制有人,戰場交鋒無人。智慧化武器裝備將重塑「從感應器到射手」的作戰流程。

慧眼“偵”。 “偵”,即智能化情報偵察。能將陸、海、空、天、電等多維傳感器,進行虛擬化協同組網、自組織動態調度、多源情報自動挖掘、訂單式按需使用,最大程度上撥開信息不足或信息冗餘帶來的“戰爭迷霧”,開啟透視智能化戰爭的“慧眼”。

迴路“控”。 “控”,即智慧化指揮控制。圍繞決策優勢這一核心,運用「人在迴路」的人機協同技術,依照機器的自主權限,採取「人在迴路中」「人在迴路」「人在迴路外」三種決策與控制方式,以高敵一籌的決策品質和行動速度形成全面優勢。

智能“打”。 “打”,即智慧化攻防作戰。依托體系結構與演算法優勢,實時調集全局多維、有人無人作戰平台,快速耦合作戰力量,按需構建作戰體系,聚焦目標,自主實施「分散式」「蜂群式」協同作戰,交戰完畢迅速解耦待戰,做到兵無常勢、聚散隨機。 2015年底,俄羅斯投入6台履帶式無人戰車、4台輪式無人戰車和1架無人機,支援敘利亞政府軍強攻伊斯蘭極端勢力據點,取得了世界上第一場以無人戰車為主的攻堅戰勝利。戰鬥中約70名極端勢力武裝份子被擊斃,而敘利亞政府軍只有4人受傷。

決策方式從「人腦決策」轉變為「智慧決策」,智慧決策優化作戰行動

隨著智慧輔助決策技術和「雲端大腦」「數字參謀」「虛擬倉儲」的出現,戰爭決策由單純的人腦決策發展為人機混合決策、雲腦智慧決策和神經網絡決策。

人機混合決策。人與機器的合理分工與互動協同是探索解決問題的最優方案。人腦的優勢在於創造性、彈性、主動性;機器的優勢在於速度快、精度高、抗疲勞。高層決策等藝術性強的工作由人腦來處理,大數據計算由機器完成。人機互動是讓機器能「聽」懂人類語言、「看」懂人類動作與表情、「理解」人的情緒和意圖,把計算過程和結果用人容易理解的方式呈現出來。

雲腦智能決策。未來智慧化戰爭,將有一個「大腦」的隱喻中心,分散式的作戰單元將透過雲大腦連結。這個雲大腦既是物理資訊、生理資訊和心理資訊中心,也是軍事指控中心。雲腦決策以智慧「網、雲、端」體係為依賴。 “網”,是集智能化戰場感知、決策和武器控制系統於一體的智慧型作戰基礎網絡。 “雲”,依“網”而建,以智慧型資源服務層為主體,既是融合各類作戰資源的“資源池”,也是為作戰行動提供智能化服務的“智能雲”。由於多中心的耦合,即使遭受資訊轟炸也能快速組網和決策。 「端”,是指作戰資源端,作戰流程上的分立智能和聯網智能,既能自主決策,又能為戰爭體系提供分佈式智能資源,使新的戰爭體系湧現出群體智能。

神經網絡決策。 2018年7月,俄羅斯研發的人工神經網路全自動軟件,能做到發現即摧毀。美軍研發的智慧化決策工具,意在縮短決策週期,提高決策效率。神經網絡的應用曾侷限在戰術級計算,難以對戰略級宏觀複雜態勢做出定性分析與決策。 「阿爾法狗」透過模擬人腦神經網絡工作機制在圍棋領域取得突破。未來深度神經網絡的超強自我進化和戰略決策能力,將實現「人在迴路外」的作戰循環。

作戰樣式從「斷鍊破體」轉變為「極限作戰」,極限作戰顛覆傳統作戰手段

極限作戰突破了傳統戰爭的界限,顛覆了傳統的作戰樣式,使戰爭效能劇增,出現了真正意義上的全天候、全時空、全方位、全領域的智能化戰爭。

突破人類生理和思維極限。一是作戰空間和領域極度拓展。未來智慧化作戰是立體、全維、全領域作戰,戰爭空間將從傳統的空間領域,向極地、深海、太空等極限拓展,特別是向認知域、資訊域滲透並貫穿其他領域,作戰領域更加模糊。二是作戰進程極度加快。無人自主作戰大幅壓縮「觀察—判​​斷—決策—行動」週期,從資訊化戰爭的「瞬間摧毀」發展為智慧化戰爭的「即時摧毀」。智慧化戰爭的勝利,是透過預警時間提前、決策時間縮短,作戰行動向前延伸,達到先手佈局、先發製人的效果。第三是作戰行動極度靈活。在智慧化戰爭中,人工智慧能夠提出極為豐富的作戰方案,加上無人作戰平台,能夠在不同功能角色之間快速切換,作戰行動更為大膽冒險,戰術戰法更為出乎意料。即使作戰要素中的某一個喪失功能,「去中心化」的功能也會確保群體功能不受影響。

顛覆傳統作戰樣式。一是侵入式獨狼作戰。即單套無人系統獨立作戰。二是有人無人協同體系破擊戰。即基於智慧無人系統,透過有無人裝備混合作戰,快速達成作戰目的。第三是無人系統編隊獨立作戰。多套無人系統構成作戰單元,可執行多目標攻擊等複雜任務。四是母艦蜂群集群作戰。以母艦為運輸載體和指揮中心,形成有人無人混合集群作戰樣式。

具備「核武威力」的作戰效能。智慧化戰爭把智慧機器人的特性和潛能發揮到極致,導致作戰效能接近極限。一是目標小、難發現。例如微型化隱身機器人,雷達和聲吶很難發現。美國在「蜻蜓」中嵌入「光極」晶片的混合無人機,更小更輕更隱秘,續航時間高達幾個月。二是對抗難,代價高。例如甲蟲大小的微型無人機只要掃描到人臉景象,經過數據分析確定即可直接撞擊目標頭部,攜帶的彈藥足以穿透大腦。三是造價低、破壞大。未來運用智慧化武器極限作戰具有核武的威力,特別是極大體量的智慧化武器裝備,極低成本的機器人自動生產,極度靈活的機器人集群作戰,可能會超越核武爆炸威力的極大化。

中國原創軍事資源:http://www.mod.gov.cn/gfbw/jmsd/483452588.html?

China’s Competition for Militarization of Artificial Intelligence Continues to Accelerate

中國人工智慧軍事化競爭持續加速

中國軍網 國防部網 // 2022年9月1日 星期四

現代英語:

Artificial intelligence is a general term for cutting-edge technology groups such as big data, automated decision-making, machine learning, image recognition and space situational awareness. It can liberate the “cognitive burden” of human intelligence and physical energy, and enable technology users to gain the advantages of foresight, preemption and preemptive decision-making and action. As a “force multiplier” and “the foundation of future battles”, artificial intelligence will fundamentally reshape the future war form, change the country’s traditional security territory, impact the existing military technology development pattern, reconstruct the future combat system and military force system, and become an important dominant force on the future battlefield.

With the rapid development of technology and the continuous acceleration of competition, major countries have launched their own artificial intelligence development plans, and accelerated the promotion of organizational mechanism reform, scientific and technological research and development, and tactical and combat innovation, promoting the military use of artificial intelligence and seizing the commanding heights of future wars.

Accelerate organizational form innovation

Promote technology transformation and application

Unlike traditional technologies, the research and development and transformation of artificial intelligence have their own characteristics. The institutional settings and operation methods of the traditional national defense system are difficult to adapt to the needs of the rapid development of artificial intelligence. To this end, the armed forces of relevant countries have vigorously carried out organizational system reform and innovation, breaking the institutional barriers in the process of artificial intelligence technology research and development, and accelerating the transformation and application of related technologies.

Emphasize “connection between the near and the far”. The United Kingdom, with the “Defense Data Office” and the “Digital Integration and Defense Artificial Intelligence Center” as the main body, integrates route planning, specification setting, technology governance and asset development, and removes administrative obstacles that restrict the development and application of artificial intelligence technology. The United States, relying on the “Strategic Capabilities Office” and the “Chief Digital and Artificial Intelligence Officer”, uses the Army Future Command as a pilot to integrate decentralized functions such as theoretical development, technology research and development, and equipment procurement, focusing on strengthening the innovative application of existing platforms in a “potential tapping and efficiency increase” manner, while buying time for the medium- and long-term technological innovation of the Defense Advanced Research Projects Agency, so as to effectively balance practical needs and long-term development.

Attach importance to “research and use conversion”. The application of artificial intelligence in the military field will have a profound impact on battlefield combat methods, tactical and combat selection, and other aspects. Russia has established institutions such as the “Advanced Research Foundation” and the “National Robotics Technology Research and Development Center” to guide the design, research and development and application of artificial intelligence technology in the Russian military to improve the practical conversion rate of scientific research results. The United States has established the “Joint Artificial Intelligence Center” and relied on the “National Mission Plan” and “Service Mission Plan” to coordinate military-civilian collaborative innovation and scientific and technological achievements transformation, and promote the widespread application of artificial intelligence in the U.S. Department of Defense and various services.

Focus on “military-civilian integration”. Russia has established institutions such as the “Times Science and Technology City” in Anapa and other places, relying on the “Advanced Research Foundation” to fully absorb military and civilian talents, actively build scientific and technological production clusters and research clusters, and effectively expand the two-way exchange mechanism of military and civilian talents. The United States has established institutions such as the “Defense Innovation Experimental Group” in Silicon Valley and other places, relying on the “Defense Innovation Committee”, so that the latest achievements in technological innovation and theoretical development in the field of artificial intelligence can directly enter high-level decision-making. France has established innovative defense laboratories, defense innovation offices and other technical research and development institutions in the Ministry of Defense, aiming to solicit private capital investment and defense project cooperation to improve scientific research efficiency.

Highlight the “combination of science and technology”. The Israel Defense Forces has established a digital transformation system architecture department, which fully demonstrates new technologies, new theories, and new concepts based on the specific effects of various systems organically integrated into various services and arms, so as to determine the corresponding technology research and development priorities and strategic development directions. The United States has enhanced the overall management of national defense technology innovation and application by re-establishing the position of Deputy Secretary of Defense for Research and Engineering and creating the Chief Digital and Artificial Intelligence Officer. It has also relied on theoretical methods such as red-blue confrontation, simulation and deduction, and net assessment analysis to conduct practical tests on various new ideas, concepts, and methods, so as to select the focus of various technology research and development and the direction of strategic and tactical research, and achieve a benign interaction between technology development and theoretical innovation.

Project establishment for military needs

Seize the opportunity for future development

In recent years, various military powers have aimed at the research and development of cutting-edge artificial intelligence technologies, and have widely established projects in the fields of situational awareness, data analysis, intelligence reconnaissance, and unmanned combat, intending to seize the opportunity for future development.

Situational awareness field. Situational awareness in the traditional sense refers to the collection and acquisition of battlefield information by means of satellites, radars, and electronic reconnaissance. However, under the conditions of “hybrid warfare” with blurred peace and war, integration of soldiers and civilians, internal and external linkage, and full-domain integration, the role of situational awareness in non-traditional fields such as human domain, social domain, and cognitive domain has received unprecedented attention. The US “Computable Cultural Understanding” project aims to process multi-source data through natural language processing technology to achieve cross-cultural communication; the “Compass” project aims to extract cases from unstructured data sources, integrate key information, and respond to different types of “gray zone” operations. The French “Scorpion” combat system project aims to use intelligent information analysis and data sharing platforms to improve the fire support effectiveness of the French army’s existing front-line mobile combat platforms to ensure the safety of operational personnel.

Data analysis field. Relying on artificial intelligence technology to improve intelligent data collection, identification analysis and auxiliary decision-making capabilities can transform information advantages into cognitive and operational advantages. Russia’s “Combat Command Information System” aims to use artificial intelligence and big data technology to analyze the battlefield environment and provide commanders with a variety of action plans. The UK’s “THEIA Project” and France’s “The Forge” digital decision support engine are both aimed at enhancing information processing capabilities in command and control, intelligence collection, and other aspects, and improving commanders’ ability to control complex battlefields and command effectiveness.

Intelligence reconnaissance field. Compared with traditional intelligence reconnaissance, using artificial intelligence algorithms to collect and process intelligence has the advantages of fast information acquisition, wide content sources, and high processing efficiency. The Japanese Self-Defense Forces’ satellite intelligent monitoring system is designed to identify and track foreign ships that may “infringe” its territorial waters near key waters. The U.S. military’s “Causal Exploration of Complex Combat Environments” project aims to use artificial intelligence and machine learning tools to process multi-source information and assist commanders in understanding the cultural motivations, event roots, and relationships behind the war; the “Marvin” project uses machine learning algorithms and face recognition technology to screen and sort out various suspicious targets from full-motion videos, providing technical support for counter-terrorism and other operations.

Unmanned combat field. In some technologically advanced countries, unmanned combat systems are becoming more mature and equipment types are becoming more complete. The Israeli military’s M-RCV unmanned combat vehicle can perform a variety of tasks such as unmanned reconnaissance, firepower strikes, and transport and recovery of drones in all-terrain and all-time conditions. The Russian military’s “Outpost-R” drone system, which has the ability to detect and strike in one, can detect, track, and strike military targets in real time. It also has certain anti-reconnaissance and anti-interference capabilities, and has been tested on the battlefield. The U.S. military’s “Future Tactical Unmanned Aerial Vehicle System” project aims to comprehensively improve the U.S. Army’s effectiveness in performing combat missions such as reconnaissance and surveillance, auxiliary targeting, battle damage assessment, and communication relay.

Adapting to the transformation of future battlefields

Continuously exploring new tactics

In order to adapt to the tremendous changes in the battlefield environment in the intelligent era, relevant countries have explored a series of new tactics by improving the participation efficiency of artificial intelligence in key military decisions and actions.

Algorithmic warfare, that is, relying on big data and artificial intelligence technology, fully utilizing the powerful potential of combat networks, human-machine collaboration, and autonomous and semi-autonomous weapons, so that the “observation-adjustment-decision-action” cycle of the side always leads the opponent, thereby destroying the enemy’s combat plan and achieving preemptive strike. In December 2015, the Russian army relied on unmanned reconnaissance and intelligent command information systems to guide ground unmanned combat platforms to cooperate with Syrian government forces, and quickly eliminated 77 militants within the target range at the cost of 4 minor injuries. In 2021, the U.S. Air Force conducted a test flight of the first intelligent drone “Air Borg”, marking the U.S. military’s algorithmic warfare further moving towards actual combat.

Unmanned warfare, guided by low-cost attrition warfare of saturated quantity attack and system attack and defense operations, strives to achieve all-round situation tracking, dynamic deterrence and tactical suppression of the enemy’s defense system through human-machine collaboration and group combat mode. In May 2021, the Israeli army used artificial intelligence-assisted drone swarms in the conflict with the Hamas armed group, which played an important role in determining the enemy’s position, destroying enemy targets, and monitoring enemy dynamics. In October 2021 and July 2022, the US military launched drone targeted air strikes in northwestern Syria, killing Abdul Hamid Matar, a senior leader of al-Qaeda, and Aguer, the leader of the extremist organization “Islamic State”.

Distributed warfare, relying on the unlimited command and control capabilities of artificial intelligence and new electronic warfare means, uses shallow footprints, low-feature, fast-paced forces such as special forces to form small groups of multi-group mobile formations, disperse and infiltrate the combat area in a multi-directional and multi-domain manner, continuously break the enemy’s system shortcomings and chain dependence, and increase the difficulty of its firepower saturation attack. In this process, “people are in command and machines are in control”. In recent years, the US military has successively launched a number of “distributed combat” scientific research projects such as “Golden Tribe” and “Elastic Network Distributed Mosaic Communication”.

Fusion warfare, relying on network quantum communication and other means, builds an anti-interference, high-speed “combat cloud” to eliminate the technical barriers of data link intercommunication, interconnection and interoperability between military services and achieve deep integration of combat forces. In 2021, the joint common basic platform developed by the US Joint Artificial Intelligence Center officially has initial operational capabilities, which will help the US military break data barriers and greatly improve data sharing capabilities. During the NATO “Spring Storm” exercise held in Estonia in 2021, the British Army used artificial intelligence technology to conduct intelligent analysis and automated processing of battlefield information of various services, which improved the integration between services and enhanced the effectiveness of joint command and control.

(Author’s unit: National University of Defense Technology)

程柏华

現代國語:

人工智慧是大數據、自動化決策、機器學習、圖像識別與空間態勢感知等前沿技術群的統稱,可解放人類智能體能的“認知負擔”,使技術使用者獲得先知、先佔、先發製人的決策行動優勢。作為“力量倍增器”和“未來戰鬥的基礎”,人工智慧將從根本上重塑未來戰爭形態、改變國家傳統安全疆域、衝擊現有軍事技術發展格局、重建未來作戰體系和軍事力量體系,成為未來戰場的重要主導力量。

隨著科技的快速發展和競爭的不斷提速,主要國家紛紛推出自己的人工智慧發展規劃,並加速推動組織機制變革、科技研發和戰術戰法創新,推動人工智慧軍事運用,搶佔未來戰爭制高點。

加速組織形態創新

推進技術轉換應用

有別於傳統的技術,人工智慧的研發和轉化有自身的特點,傳統國防體系的機構設置和運作方式,很難適應人工智慧快速發展的需求。為此,相關國家軍隊大力進行組織體制改革與創新,破除人工智慧技術研發過程中的體制障礙,加速推廣相關技術的轉換與應用。

強調「遠近銜接」。英國以「國防資料辦公室」與「數位整合與國防人工智慧中心」為主體,將路線規劃、規範設定、技術治理與資產開發等能效聚攏整合,破除限制人工智慧技術發展應用的行政阻礙。美國以「戰略能力辦公室」和「首席數位與人工智慧長」為依托,以陸軍未來司令部為試點,將理論開發、技術研發、裝備採辦等分散職能整合到一起,重點以「挖潛增效」方式加強現有平台的創新運用,同時為國防高級研究計劃局的中長期技術創新爭取時間,從而有效兼顧現實需求與長遠發展。

重視「研用轉換」。人工智慧在軍事領域的運用,將對戰場戰斗方式、戰術戰法選擇等方面產生深刻影響。俄羅斯透過組成「先期研究基金會」和「國家機器人技術研發中心」等機構,指導俄軍人工智慧技術的設計、研發與應用工作,以提高科學研究成果的實用轉換率。美國透過設立“聯合人工智慧中心”,依托“國家任務計畫”和“軍種任務計畫”,著力統籌軍地協同創新和科技成果轉化,促進人工智慧在美國國防部和諸軍種的廣泛應用。

注重「軍民一體」。俄羅斯在阿納帕等地設立“時代科技城”等機構,依托“高級研究基金會”,充分吸收軍地人才,積極構建科技生產集群和研究集群,有效拓展軍地人才雙向交流機制。美國透過在矽谷等地設立“國防創新試驗小組”等機構,依托“國防創新委員會”,使人工智慧領域的技術創新與理論發展最新成果可以直接進入高層決策。法國在國防部建立創新防務實驗室、防務創新處等技術研發機構,旨在徵集民間資本投資與國防專案合作,提昇科研能效。

突顯「理技結合」。以色列國防軍設立數位轉型體​​系架構部,依據各類系統有機融入各軍兵種的具體效果,對新技術、新理論、新概念進行充分論證,以確定相應技術研發重點與戰略發展方向。美國透過重設國防部研究與工程副部長、創建首席數位與人工智慧長等職位,提升國防技術創新與應用的統管力度,並依托紅藍對抗、模擬推演、淨評估分析等理論方法,對各類新思想、新理念、新方法進行實踐檢驗,以選定各類技術研發焦點與戰略戰術攻關方向,實現技術發展與創新理論的良性互動。

針對軍事需求立項

搶佔未來發展先機

近年來,各軍事強國瞄準人工智慧前線技術研發,在態勢感知、資料分析、情報偵察、無人作戰等領域廣泛立項,意圖搶佔未來發展先機。

態勢感知領域。傳統意義的態勢感知是指依托衛星、雷達和電子偵察等手段收集和取得戰場資訊。然而,在平戰模糊、兵民一體、內外連動、全域融合的「混合戰爭」條件下,人類域、社會域、認知域等非傳統領域態勢感知的作用受到前所未有的重視。美國「可計算文化理解」項目,旨在透過自然語言處理技術處理多源數據,實現跨文化交流;「指南針」項目,旨在從非結構化數據源中提取案例,整合關鍵訊息,應對不同類型的「灰色地帶」行動。法國「蠍子」戰鬥系統項目,旨在運用智慧化資訊分析與資料共享平台,提升法軍現有前線移動作戰平台的火力支援效力,以保障行動人員安全。

數據分析領域。依託人工智慧技術提高智慧化資料蒐集、識別分析和輔助決策能力,可將資訊優勢轉化為認知和行動優勢。俄羅斯“戰鬥指揮資訊系統”,旨在藉助人工智慧與大數據技術分析戰場環境,為指揮官提供多類行動預案。英國「THEIA計畫」和法國的「The Forge」數位決策支援引擎,都旨在增強指揮控制、情報蒐集等方面的資訊處理能力,提高指揮官駕馭複雜戰場的能力和指揮效能。

情報偵察領域。相較於傳統情報偵察,利用人工智慧演算法蒐集處理情報,具備獲取資訊快、內容來源廣、處理效率高等優勢。日本自衛隊衛星智慧監控系統,旨在識別、追蹤重點水域附近可能「侵犯」其領海的外國船隻。美軍「複雜作戰環境因果探索」項目,旨在利用人工智慧和機器學習工具處理多源信息,輔助指揮官理解戰爭背後的文化動因、事件根源和各因素關係;「馬文」項目則透過運用機器學習演算法、人臉辨識技術等,從全動態影片中篩選排列出各類可疑目標,為反恐等行動提供技術支撐。

無人作戰領域。一些技術先進的國家,無人作戰體係日臻成熟、裝備種類譜係日趨完善。以軍M-RCV型無人戰車,可在全地形、全時段條件下,執行無人偵察、火力打擊、運載及回收無人機等多樣化任務。具備察打一體能力的俄軍「前哨-R」無人機系統,可即時偵測、追蹤、打擊軍事目標,也具備一定反偵察和抗干擾能力,已在戰場上經過檢驗。美軍「未來戰術無人機系統」項目,旨在全面提升美陸軍執行偵察監視、輔助瞄準、戰損評估、通訊中繼等作戰任務的效能。

適應未來戰場轉變

不斷探索全新戰法

為適應智慧化時代戰場環境的巨大變化,相關國家透過提升人工智慧在各關鍵軍事決策與行動的參與能效,探索出一系列全新戰法。

演算法戰,即以大數據和人工智慧技術為依托,充分發揮作戰網路、人機協作以及自主和半自主武器的強大潛能,使己方「觀察-調整-決策-行動」的循環週期始終領先對手,進而破壞敵作戰計劃,實現先發製人。 2015年12月,俄軍依托無人偵察與智慧化指揮資訊系統,引導地面無人作戰平台與敘利亞政府軍配合,以4人輕傷代價,迅速消滅了目標範圍內的77名武裝分子。 2021年,美空軍進行了首架智慧無人機「空中博格人」的試飛,標誌著美軍演算法戰進一步向實戰化邁進。

無人戰,以飽和數量攻擊、體系攻防作戰的低成本消耗戰為指導,力求透過人機協同、群體作戰模式,實現對敵防禦體系全方位的態勢追蹤、動態威懾和戰術壓制。 2021年5月,以軍在同哈馬斯武裝組織的衝突中使用人工智慧輔助的無人機蜂群,在確定敵人位置、摧毀敵方目標、監視敵方動態等方面發揮了重要作用。 2021年10月和2022年7月,美軍在敘利亞西北部發起無人機定點空襲,分別擊斃「基地」組織高階領導人阿卜杜勒·哈米德·馬塔爾和極端組織「伊斯蘭國」領導人阿蓋爾。

分佈戰,以人工智慧無限指揮控制能力和全新電子戰手段為依托,利用特種部隊等淺腳印、低特徵、快節奏的兵力,形成小股多群機動編隊,以多向多域方式分散滲入作戰區域,持續破擊敵體系短板和鍊式依賴,增大其火力飽和攻擊的難度。在這個過程中,實現「人在指揮、機器在控制」。近年來,美軍相繼啟動「金色部落」「彈性網路分散式馬賽克通訊」等多個「分散式作戰」科學研究立項。

融合戰,依托網路量子通訊等手段,建構抗干擾、高速率的“作戰雲”,以消除軍兵種數據鏈互通、互聯和互操作技術障礙,實現作戰力量的深度融合。 2021年,美聯合人工智慧中心研發的聯合通用基礎平台正式具備初始操作能力,將協助美軍打破資料壁壘,大幅提升資料共享能力。 2021年在愛沙尼亞舉行的北約「春季風暴」演習期間,英軍運用人工智慧技術,對各軍種戰場資訊進行智慧分析與自動化處理,提升了軍種間的融合度,增強了聯合指揮控制效能。

(作者單位:國防科技大學)

中國原創軍事資源:http://www.81.cn/jfjbmap/content/2022-09/01/content_32324488.htm

People’s Republic of China’s Development Trend & Governance Strategy for Weaponization of Artificial Intelligence

中華人民共和國人工智慧武器化發展趨勢與治理策略

現代英語:

The weaponization of artificial intelligence is an inevitable trend in the new round of military transformation. Local wars and conflicts in recent years have further stimulated relevant countries to promote the strategic deployment of artificial intelligence weaponization and seize the commanding heights of future wars. The potential risks of artificial intelligence weaponization cannot be ignored. It may intensify the arms race and break the strategic balance; empower the combat process and increase the risk of conflict; increase the difficulty of accountability and increase collateral casualties; lower the threshold of proliferation and lead to misuse and abuse. In this regard, we should strengthen international strategic communication to ensure consensus and cooperation among countries on the military application of artificial intelligence; promote dialogue and coordination on the construction of laws and regulations to form a unified and standardized legal framework; strengthen the ethical constraints of artificial intelligence to ensure that technological development meets ethical standards; actively participate in global security governance cooperation and jointly maintain peace and stability in the international community.

    The weaponization of artificial intelligence is to apply artificial intelligence-related technologies, platforms and services to the military field, making it an important driving force for enabling military operations, thereby improving the efficiency, accuracy and autonomy of military operations. With the widespread application of artificial intelligence technology in the military field, major powers and military powers have increased their strategic and resource investment and accelerated the pace of research and development and application. The frequent regional wars and conflicts in recent years have further stimulated the battlefield application of artificial intelligence, and profoundly shaped the form of war and the future direction of military transformation.

    It cannot be ignored that, as a rapidly developing technology, AI itself may have potential risks due to the immaturity of its inherent technology, inaccurate scene matching, and incomplete supporting conditions. It is also easy to bring various risks and challenges to the military field and even the international security field due to human misuse, abuse, or even malicious use. To conscientiously implement the global security initiative proposed by General Secretary Xi Jinping, we must face the development trend of weaponization of AI worldwide, conduct in-depth analysis of the security risks that may be brought about by the weaponization of AI, and think about scientific and feasible governance ideas and measures.

    Current trends in the weaponization of artificial intelligence

    In recent years, the application of artificial intelligence in the military field is fundamentally reshaping the future form of war, changing the future combat system, and affecting the future direction of military reform. Major military powers have regarded artificial intelligence as a subversive key technology that will change the rules of future wars, and have invested a lot of resources to promote the research and development and application of artificial intelligence weapons.

    The weaponization of artificial intelligence is an inevitable trend in military transformation.

    With the rapid development of science and technology, the necessity and urgency of military reform have become increasingly prominent. Artificial intelligence can simulate human thinking processes, extend human brainpower and physical strength, realize rapid information processing, analysis and decision-making, and develop increasingly complex unmanned weapon system platforms, thus providing unprecedented intelligent support for military operations.

    First, it provides intelligent support for military intelligence reconnaissance and analysis. Traditional intelligence reconnaissance methods are constrained by multiple factors such as manpower and time, and it is difficult to effectively respond to large-scale, high-speed and high-complexity intelligence processing needs. The introduction of artificial intelligence technology has brought innovation and breakthroughs to the field of intelligence reconnaissance. In military infrastructure, the application of artificial intelligence technology can build an intelligent monitoring system to provide high-precision and real-time intelligence perception services. In the field of intelligence reconnaissance, artificial intelligence technology has the ability to process multiple “information flows” in real time, thereby greatly improving analysis efficiency. ① By using technical tools such as deep learning, it is also possible to “see the essence through the phenomenon”, dig out the deep context and causal relationship in various types of fragmented intelligence information, and quickly transform massive fragmented data into usable intelligence, thereby improving the quality and efficiency of intelligence analysis.

    Second, provide data support for combat command and decision-making. Artificial intelligence provides strong support for combat command and military decision-making in terms of battlefield situation awareness. ② Its advantage lies in the ability to perform key tasks such as data mining, data fusion, and predictive analysis. In information-based and intelligent warfare, the battlefield environment changes rapidly, and the amount of intelligence information is huge, requiring rapid and accurate decision-making responses. Therefore, advanced computer systems have become an important tool to assist commanders in managing intelligence data, making enemy situation judgments, proposing combat plan suggestions, and formulating plans and orders. Taking the US military as an example, the ISTAR (Intelligence, Surveillance, Target Identification and Tracking) system developed by Raytheon Technologies Corporation of the United States covers intelligence collection, surveillance, target identification and tracking functions, and can gather data from multiple information sources such as satellites, ships, aircraft and ground stations, and conduct in-depth analysis and processing. This not only significantly improves the speed at which commanders obtain information, but also can provide data support with the help of intelligent analysis systems, making decisions faster, more efficient and more accurate.

    Third, it provides important support for unmanned combat systems. Unmanned combat systems are a new type of weapon and equipment system that can independently complete military tasks without direct human manipulation. They mainly include intelligent unmanned combat platforms, intelligent ammunition, and intelligent combat command and control systems, and have significant autonomy and intelligent features. As a technical equipment that leads the transformation of future war forms, unmanned combat systems have become an important bargaining chip in military competition between countries. The system has achieved adaptability to different battlefield environments and combat spaces by using key technologies such as autonomous navigation, target recognition, and path planning. With the help of advanced algorithms such as deep learning and reinforcement learning, unmanned combat systems can independently complete navigation tasks and achieve precise strikes on targets. The design concept of this system is “unmanned platform, manned system”, and its essence is an intelligent extension of manned combat systems. For example, the “MQM-57 Falconer” drone developed by the US Department of Defense’s Advanced Research Projects Agency (DARPA) uses advanced artificial intelligence technology and has highly autonomous target recognition and tracking functions.

    Fourth, provide technical support for military logistics and equipment support. In the context of information warfare, the war process has accelerated, mobility has improved, and combat consumption has increased significantly. The traditional “excessive pre-storage” support model can no longer adapt to the rapidly changing needs of the modern battlefield. Therefore, higher requirements are placed on combat troops to provide timely, appropriate, appropriate, appropriate, and appropriate rapid and accurate after-sales support. As a technology with spillover and cross-integration characteristics, artificial intelligence is integrated with cutting-edge technologies such as the Internet of Things, big data, and cloud computing, allowing artificial intelligence knowledge groups, technology groups, and industrial groups to fully penetrate the military after-sales field, significantly improving the logistics equipment support capabilities.

    Major countries are planning to develop military applications of artificial intelligence.

    In order to enhance their global competitiveness in the field of artificial intelligence, major powers such as the United States, Russia, and Japan have stepped up their strategic layout for the military application of artificial intelligence. First, by updating and adjusting the top-level strategic planning in the field of artificial intelligence, they provide clear guidance for future development; second, in response to future war needs, they accelerate the deep integration of artificial intelligence technology and the military field, and promote the intelligent, autonomous, and unmanned development of equipment systems; in addition, they actively innovate combat concepts to drive combat force innovation, thereby improving combat effectiveness and competitive advantages.

    The first is to formulate a strategic plan. Based on the strategic paranoia of pursuing military hegemony, political hegemony, and economic hegemony with technological hegemony, the United States is accelerating its military intelligence process. In November 2023, the U.S. Department of Defense issued the “Data, Analysis and Artificial Intelligence Adoption Strategy”, which aims to expand the advanced capabilities of the entire Department of Defense system to gain lasting military decision-making advantages. The Russian military promulgated the “Russian Weapons and Equipment Development Outline from 2024 to 2033”, known as the “3.0 version”, which aims to provide guidance for the development of weapons and equipment in the next 10 years. The outline emphasizes the continued advancement of nuclear and conventional weapons construction, and focuses on the research of artificial intelligence and robotics technology, hypersonic weapons and other strike weapons based on new physical principles.

    The second is to develop advanced equipment systems. Since 2005, the U.S. military has released a version of the “Unmanned System Roadmap” every few years to look forward to and design unmanned system platforms in various fields such as air, ground, surface/underwater, and connect the development chain of unmanned weapons and equipment such as research and development-production-testing-training-combat-support. At present, more than 70 countries in the world can develop unmanned system platforms, and various types of drones, unmanned vehicles, unmanned ships (boats), and unmanned submarines are springing up like mushrooms after rain. On July 15, 2024, Mark Milley, former chairman of the U.S. Joint Chiefs of Staff, said in an interview with U.S. Defense News that by 2039, one-third of the U.S. military will be composed of robots. The Platform-M combat robot, the “Lancet” suicide drone, and the S70 “Hunter” heavy drone developed by the Russian army have been put into actual combat testing.

    The third is to innovate future combat concepts. The combat concept is a forward-looking study of future war styles and combat methods, which can often lead to the leapfrog development of new combat force formations and weapons and equipment. In recent years, the US military has successively proposed combat concepts such as “distributed lethality”, “multi-domain warfare” and “mosaic warfare” in an attempt to lead the development direction of military transformation. Taking “mosaic warfare” as an example, this combat concept regards various sensors, communication networks, command and control systems, weapon platforms, etc. as “mosaic fragments”. These “fragment” units, with the support of artificial intelligence technology, can be dynamically linked, autonomously planned, and collaboratively combined through network information systems to form an on-demand integrated, highly flexible, and flexible killing network. In March 2022, the US Department of Defense released the “Joint All-Domain Command and Control (JADC2) Strategic Implementation Plan”, which aims to expand multi-domain operations to all-domain operations concepts, connect sensors of various services to a unified “Internet of Things”, and use artificial intelligence algorithms to help improve combat command decisions. ③

    War conflicts stimulate the weaponization of artificial intelligence.

    In recent years, local conflicts such as the Libyan conflict, the Nagorno-Karabakh conflict, the Ukrainian crisis, and the Israeli-Kazakh conflict have continued, further stimulating the development of the weaponization of artificial intelligence.

    In the Libyan conflict, the warring parties used various types of drones to perform reconnaissance and combat missions. According to a report released by the United Nations Panel of Experts on Libya, the Turkish-made Kargu-2 drone carried out a “hunt and engage remotely” operation in Libya in 2020, and could autonomously attack retreating enemy soldiers. This incident marked the first use of lethal autonomous weapon systems in actual combat. As American scholar Zachary Cullenborn said, if someone unfortunately died in such an autonomous attack, this would most likely be the first known example in history of artificial intelligence autonomous weapons being used for killing. In the 2020 Nagorno-Karabakh conflict, Azerbaijan used a formation of Turkish-made “Flagship” TB2 drones and Israeli-made “Harop” drones to successfully break through the Armenian air defense system and gain air superiority and initiative on the battlefield. ④ The remarkable results of the Azerbaijani army’s drone operations are largely due to the Armenian army’s “underestimation of the enemy” mentality and insufficient understanding of the importance and threat of drones in modern warfare. Secondly, from the perspective of offensive strategy, the Azerbaijani army has made bold innovations in drone warfare. They flexibly use advanced equipment such as reconnaissance and strike drones and cruise missiles, which not only improves combat efficiency, but also greatly enhances the suddenness and lethality of combat. ⑤

    During the Ukrainian crisis that broke out in 2022, both Russia and Ukraine widely used military-grade and commercial drones to perform reconnaissance, surveillance, artillery targeting and strike missions. The Ukrainian army used the “Flagship” TB2 drone and the “Switchblade” series of suicide drones assisted by the United States to carry out precision strikes and efficient killings, becoming a “battlefield killer” that attracted worldwide attention. In the Israeli-Kazakhstan conflict, the Israeli military was accused of using an artificial intelligence system called “Lavender” to identify and lock bombing targets in Gaza. It once marked as many as 37,000 Palestinians in Gaza as suspected “militants” and identified them as targets that could be directly “assassinated”. The Israeli military’s actions have attracted widespread attention and condemnation from the international community. ⑥

    Security risks posed by weaponization of artificial intelligence

    From automated command systems to intelligent unmanned combat platforms, to intelligent decision-making systems in network defense, the application of artificial intelligence technology in the military field is becoming more and more common and has become an indispensable part of modern warfare. However, with the trend of weaponization of artificial intelligence, its misuse, abuse and even malicious use will also bring risks and challenges to international security that cannot be ignored.

    Intensify the arms race and disrupt the strategic balance.

    In the information and intelligent era, the disruptive potential of artificial intelligence is hard for major military powers to resist. They are all focusing on the development and application of artificial intelligence military capabilities, fearing that they will fall behind in this field and lose strategic opportunities. Deepening the military application of artificial intelligence can gain “asymmetric advantages” at a lower cost and with higher efficiency.

    First, countries are scrambling to seize the “first mover advantage”. When a country achieves technological leadership in the development of intelligent weapon systems, it means that the country has more advanced artificial intelligence and related application capabilities, giving it a first-mover advantage in weapon system development, control, and emergency response. This advantage includes higher autonomy, intelligence, and adaptability, which increases the country’s military strength and strategic competitive advantage. At the same time, the military advantage of the first mover may become a security threat to competitors, leading to a scramble among countries in the military application of advanced technologies. ⑦ In August 2023, US Deputy Secretary of Defense Kathryn Hicks announced the “Replicator initiative”, which seeks to deploy thousands of “autonomous weapon systems” in the Indo-Pacific region in less than two years. ⑧

    Second, the opacity of AI armament construction in various countries may intensify the arms race. There are two main reasons for this: First, AI technology is an “enabling technology” that can be used to design a variety of applications, which means that it is difficult to verify the specific situation of AI military applications. It is difficult to determine whether a country is developing or deploying nuclear weapons by monitoring uranium, centrifuges, weapons and delivery systems, as is the case with nuclear weapons. The difference between semi-autonomous and fully autonomous weapon systems is mainly due to different computer software algorithms, and it is difficult to verify the implementation of treaties by various countries through physical verification. Second, in order to maintain their strategic advantages, countries often take confidentiality measures for the details of the military application of advanced technologies, so that opponents cannot detect their strategic intentions. In the current international environment, this opacity not only intensifies the arms race, but also lays the groundwork for future escalation of conflicts.

    Third, the uncertainty of the strategic intentions of various countries will also intensify the arms race. The impact of artificial intelligence on strategic stability, nuclear deterrence and war escalation depends largely on other countries’ perception of its capabilities rather than its actual capabilities. As American scholar Thomas Schelling pointed out, international relations often have the characteristics of risk competition, which is more of a test of courage than force. The relationship between major opponents is determined by which side is ultimately willing to invest more power, or make it look like it is about to invest more power. ⑨ An actor’s perception of the capabilities of others, whether true or false, will greatly affect the progress of the arms race. If a country vigorously develops intelligent weapon systems, competitors will become suspicious of their competitors’ armament capabilities and intentions to develop armaments without being sure of the other party’s intentions, and often take reciprocal measures, that is, to meet their own security needs by developing armaments. It is this ambiguity of intention that stimulates technological accumulation, exacerbates the instability of weapons deployment, and ultimately leads to a vicious cycle.

    Empowering operational processes increases the risk of conflict.

    Empowered by big data and artificial intelligence technologies, traditional combat processes will be rebuilt intelligently, that is, from “situational awareness – command decision-making – attack and defense coordination – comprehensive support” to “intelligent cognition of global situation – human-machine integrated hybrid decision-making – manned/unmanned autonomous coordination – proactive on-demand precise support”. However, although the intelligent reconstruction of combat processes has improved the efficiency and accuracy of operations, it has also increased the risk of conflict and misjudgment.

    First, wars that break out at “machine speed” will increase the risk of hasty actions. Artificial intelligence weapon systems have demonstrated strong capabilities in accuracy and response speed, making future wars break out at “machine speed”. ⑩ However, too fast a war will also increase the risk of conflict. In areas such as missile defense, autonomous weapon systems, and cyberspace that value autonomy and response speed, faster response speeds will bring huge strategic advantages, but will also greatly compress the time window for the defender to respond to military actions, causing combat commanders and decision makers to be under tremendous “time pressure”, exacerbating the risk of “hasty action” and increasing the possibility of accidental escalation of crises.

    Second, reliance on system autonomy may increase the chance of misjudgment under pressure. The U.S. Department of Defense believes that “highly autonomous artificial intelligence systems can autonomously select and execute corresponding operations based on the dynamic changes in mission parameters, and efficiently achieve human preset goals. The increase in autonomy not only greatly reduces dependence on manpower and improves overall operational efficiency, but is also regarded by defense planners as a key factor in maintaining tactical leadership and ensuring battlefield advantage.” ⑪ However, since human commanders cannot respond quickly enough, they may gradually delegate control to autonomous systems, increasing the chance of misjudgment. In March 2003, the U.S. Patriot missile system mistakenly marked a friendly Tornado fighter as an anti-radiation missile. The commander chose to launch the missile under the pressure of only a few seconds to react, resulting in the death of two pilots. ⑫

    Third, it weakens the effectiveness of the crisis termination mechanism. During the Cold War, the United States and the Soviet Union led the construction of a series of restrictive measures to curb the escalation of crises and prevent them from evolving into large-scale nuclear wars. In these measures, humans play a vital role as “supervisors”. When risks may get out of control, they can initiate termination measures in sufficient time to avoid large-scale humanitarian disasters. However, with the improvement of the computing power of artificial intelligence systems and their deep integration with machine learning, combat responses have become faster, more precise and destructive, and humans’ termination intervention mechanism for crises may be weakened.

    War accountability is difficult and collateral casualties increase.

    Artificial intelligence weapon systems make it more difficult to define responsibility for war. In traditional combat modes, weapons systems are controlled by humans. Once errors or crises occur, human operators or developers of operating systems will bear corresponding responsibilities. Artificial intelligence technology itself weakens human initiative and control capabilities, making the attribution of responsibility for technical behavior unclear.

    The first is the problem of the “black box” of artificial intelligence. Although artificial intelligence has significant advantages in processing and analyzing data, its internal operating rules and causal logic are often difficult for humans to understand and explain, which makes it difficult for programmers to correct errors in the algorithm. This problem is often referred to as the “black box” of the algorithm model. Once the artificial intelligence weapon system poses a safety hazard, the “algorithm black box” may become a rational excuse for the relevant responsible parties to shirk responsibility. Those who pursue responsibility can only face generalized shirking and shirking of responsibility, and point the finger of responsibility at the artificial intelligence weapon system. In practice, if the decision-making process of artificial intelligence cannot be understood and explained, it may cause a series of problems, such as decision-making errors, trust crises, and information abuse.

    The second is the division of responsibilities between humans and machines in military operations. When an AI system fails or makes a wrong decision, should it be considered an independent entity to bear responsibility? Or should it be considered a tool, with human operators bearing all or part of the responsibility? The complexity of this division of responsibilities lies not only in the technical level, but also in the ethical and legal levels. On the one hand, although AI systems can make autonomous decisions, their decision-making process is still limited by human preset procedures and algorithms, so their responsibilities cannot be completely independent of humans. On the other hand, AI systems may go beyond the preset scope of humans and make independent decisions in some cases. How to define their responsibilities at this time has also become a difficult problem in the field of arms control.

    The third is the issue of the allocation of decision-making power between humans and artificial intelligence weapon systems. According to the different autonomous powers of the machine, the artificial intelligence system can perform tasks in three decision-making and control modes: semi-autonomous, supervised autonomous, and fully autonomous. In a semi-autonomous system, the decision-making power of the action is controlled by humans; in supervised autonomous actions, humans supervise and intervene when necessary; in fully autonomous actions, humans do not participate in the action process. With the gradual deepening of the military application of artificial intelligence, the role of humans in the combat system is undergoing a gradual transformation from the traditional “man in the loop” mode to the “man on the loop”, and humans have evolved from direct operators inside the system to supervisors outside the system. However, this transformation has also raised new problems. How to ensure that artificial intelligence weapon systems can still follow human ethics and values ​​when operating independently is a major challenge facing the current field of artificial intelligence weapon research and development.

    Lowering the threshold for proliferation leads to misuse and abuse.

    Traditional strategic competition usually involves large-scale research and development and procurement of weapons systems, which requires a lot of money and technical support. After AI technology matures and spreads, it has the advantages of being easy to obtain and inexpensive. Even small and medium-sized countries may have the ability to develop advanced intelligent weapon systems. At present, strategic competition in the field of military AI is mainly concentrated between major military powers such as the United States and Russia. However, in the long run, the spread of AI technology will expand the scope of strategic competition and pose a destructive threat to the existing strategic balance. Once smaller countries that master AI technology have relatively strong competitiveness, their willingness to initiate confrontation when facing threats from major powers may increase.

    First, artificial intelligence helps develop some lightweight and agile means of warfare, thereby encouraging some small and medium-sized countries or non-state actors to use it to carry out small, opportunistic military adventures, achieving their strategic goals at a lower cost and with more abundant channels. Second, the rapid development of artificial intelligence has made new forms of warfare such as cyber warfare and electronic warfare increasingly prominent. In a highly competitive battlefield environment, malicious third-party actors can influence military planning and strategic deterrence by manipulating information, leading to an escalation of the situation. In the Ukrainian crisis that broke out in 2022, a lot of false information was spread on the Internet to confuse the public. Third, the widespread application of artificial intelligence technology has also reduced strategic transparency. Traditional military strategies often rely on a large amount of intelligence collection, analysis and prediction, and with the assistance of artificial intelligence technology, combat planning and decision-making processes have become more complex and unpredictable. This opacity may lead to misunderstandings and misjudgments, thereby increasing the risk of escalating conflicts.

    Governance Path for Security Risks of Weaponized Artificial Intelligence

    To ensure the safe development of artificial intelligence and avoid the potential harm caused by its weaponization, we should strengthen international communication on governance strategies, seek consensus and cooperation among countries on the military application of artificial intelligence; promote dialogue and coordination on laws and regulations to form a unified and standardized legal framework; strengthen the constraints on artificial intelligence ethics to ensure that technological development complies with ethical standards; and actively participate in global security governance cooperation to jointly maintain peace and stability in the international community.

    Attach great importance to strategic communication at the international level.

    AI governance is a global issue that requires the concerted efforts of all countries to solve. On the international stage, countries have both mixed and conflicting interests. Therefore, dealing with global issues through effective communication channels has become the key to maintaining world peace and development.

    On the one hand, we need to accurately grasp the challenges of international governance of AI. We need to grasp the consensus of various countries on the development of weaponized AI, pay close attention to the policy differences among countries in the security governance of weaponized AI applications, and coordinate relevant initiatives with the UN agenda through consultation and cooperation, so as to effectively prevent the military abuse of AI and promote the use of AI for peaceful purposes.

    On the other hand, governments should be encouraged to reach relevant agreements and establish strategic mutual trust through official or semi-official dialogues. Compared with the “Track 1 Dialogue” at the government level, the “Track 1.5 Dialogue” refers to dialogues between government officials and civilians, while the “Track 2 Dialogue” is a non-official dialogue between scholars, retired officials, etc. These two forms of dialogue have higher flexibility and are important supplements and auxiliary means to official dialogues between governments. Through a variety of dialogue and communication methods, officials and civilians can widely discuss possible paths to arms control, share experiences and expertise, and avoid the escalation of the arms race and the deterioration of tensions. These dialogue mechanisms will provide countries with a continuous communication and cooperation platform, help enhance mutual understanding, strengthen strategic mutual trust, and jointly respond to the challenges brought about by the militarization of artificial intelligence.

    Scientifically formulate laws and ethical norms for artificial intelligence.

    Artificial intelligence technology itself is neither right nor wrong, good nor evil, but there are differences in good and bad intentions in the design, development, manufacturing, use, operation and maintenance of artificial intelligence. The weaponization of artificial intelligence has aroused widespread ethical concerns. Under the framework of international law, can autonomous weapon systems accurately distinguish between combatants and civilians on a complex battlefield? In addition, if artificial intelligence weapon systems cause unexpected harm, how to define the responsibility? Is it in line with moral and ethical standards to give machines the decision-making power of life and death? These concerns highlight the need to strengthen the ethical constraints of artificial intelligence.

    On the one hand, we must insist on ethics first and integrate the concept of “intelligent for good” from the source of technology. In the design process of artificial intelligence military systems, values ​​such as people-oriented and intelligent for good will be embedded in the system. The purpose is to eliminate the indiscriminate killing and injury that may be caused by artificial intelligence from the source, control its excessive lethality, and prevent accidental damage, so as to limit the damage caused by artificial intelligence weapon systems to the smallest possible range. At present, nearly 100 institutions or government departments at home and abroad have issued various artificial intelligence ethical principle documents, and academia and industry have also reached a consensus on the basic ethical principles of artificial intelligence. In 2022, China’s “Position Paper on Strengthening the Ethical Governance of Artificial Intelligence” submitted to the United Nations provided an important reference for the development of global artificial intelligence ethical supervision. The document clearly emphasizes that artificial intelligence ethical supervision should be promoted through institutional construction, risk control, collaborative governance and other measures.

    On the other hand, we need to improve relevant laws and regulations and clarify the boundaries of rights and responsibilities of AI entities. We need to formulate strict technical review standards to ensure the security and reliability of AI systems. We need to conduct comprehensive tests before AI systems go online to ensure that they do not have a negative impact on human life and social order. We need to clarify the legal responsibilities of developers, users, maintainers and other parties throughout the life cycle of AI systems, and establish corresponding accountability mechanisms.

    Pragmatically participate in international cooperation on artificial intelligence security governance.

    The strategic risks brought about by the military application of artificial intelligence further highlight the importance of pragmatic cooperation in international security. It is recommended to focus on three aspects:

    First, promote the formulation of guidelines for the use of artificial intelligence in the military field. Formulating a code of conduct for the military application of artificial intelligence is an important responsibility of all countries to regulate the military application of artificial intelligence, and it is also a necessary measure to promote international consensus and comply with international laws and regulations. In 2021, the Chinese government submitted the “China’s Position Paper on Regulating the Military Application of Artificial Intelligence” to the United Nations Convention on Certain Conventional Weapons Conference, and issued the “Global Artificial Intelligence Governance Initiative” in 2023. These have provided constructive references for improving the code of conduct for regulating the military application of artificial intelligence.

    The second is to establish an applicable regulatory framework. The dual-use nature of AI involves many stakeholders. Some non-state actors, such as non-governmental organizations, technology communities, and technology companies, will play a more prominent role in the global governance of AI and become an important force in the construction of a regulatory framework for the military application of AI. The technical regulatory measures that countries can take include: clarifying the scope of use of AI technology, responsible entities, and penalties for violations; strengthening technology research and development to improve the security and controllability of technology; establishing a regulatory mechanism to supervise the development and application of technology throughout the process, and promptly discover and solve problems.

    Third, jointly develop AI security prevention technologies and solutions. Encourage bilateral or multilateral negotiations between governments and militaries to be included in the dialogue options for military AI applications, conduct extensive exchanges on military AI security prevention technologies, operating procedures and practical experience, promote the sharing and reference of relevant risk management technical standards and usage specifications, and continuously inject new stability factors into the international security mutual trust mechanism under the background of AI militarization.

    (The author is the director, researcher, and doctoral supervisor of the National Defense Science and Technology Strategic Research Think Tank of the National University of Defense Technology; Liu Hujun, a master’s student at the School of Foreign Languages ​​of the National University of Defense Technology, also contributed to this article)

現代國語:

【摘要】人工智慧武器化是新一輪軍事變革的必然趨勢,近年來局部戰爭的衝突進一步刺激相關國家推動人工智慧武器化戰略部署,搶佔未來戰爭制高點。人工智慧武器化的潛在風險不容忽視,將可能加劇軍備競賽,打破戰略平衡;賦能作戰流程,加大衝突風險;提升問責難度,增加附帶傷亡;降低擴散門檻,導致誤用濫用。對此,應加強國際間戰略溝通,確保各國在人工智慧軍事應用上的共識與協作;推動法律法規建設的對話與協調,以形成統一規範的法律架構;加強人工智慧倫理約束,確保技術發展符合道德標準;積極參與全球安全治理合作,共同維護國際社會的和平與穩定。

【關鍵字】人工智慧 軍事應用 安全風險 安全治理 【中圖分類號】F113 【文獻識別碼】A

人工智慧武器化,是將人工智慧相關技術、平台與服務應用到軍事領域,使其成為賦能軍事行動的重要驅動力量,進而提升軍事行動的效率、精準度與自主性。隨著人工智慧技術在軍事領域的廣泛應用,各主要大國及軍事強國紛紛加大戰略與資源投入,加速研發應用步伐。近年來頻繁的區域戰爭衝突也進一步刺激了人工智慧的戰場運用,並深刻塑造戰爭形態以及軍事變革的未來走向。

不容忽視的是,人工智慧作為一類快速發展中的技術,其本身由於內在技術的不成熟、場景匹配的不準確、支持條件的不完備,可能存在潛在風險,而由於人為的誤用、濫用甚至惡意使用,也容易給軍事領域乃至國際安全領域帶來多種風險挑戰。認真貫徹實習近平總書記提出的全球安全倡議,必須直面世界範圍內人工智慧武器化的發展趨勢,深入分析人工智慧武器化應用可能帶來的安全風險,並思考科學可行的治理思路與舉措。

當前人工智慧武器化的發展趨勢

近年來,人工智慧在軍事領域的應用,正從根本上重塑未來戰爭形態、改變未來作戰體系,影響軍事變革的未來走向。主要軍事大國已將人工智慧視為改變未來戰爭規則的顛覆性關鍵技術,紛紛挹注大量資源,並推動人工智慧武器的研發與應用。

人工智慧武器化是軍事變革的必然趨勢。

隨著科學技術的快速發展,軍事變革的必要性與緊迫性愈發凸顯。人工智慧透過模擬人類的思考過程,延展人類的腦力與體力,可實現資訊快速處理、分析與決策,研發日益複雜的無人化武器系統平台,進而為軍事行動提供前所未有的智慧化支援。

一是為軍事情報偵察與分析提供智慧支援。傳統的情報偵察方式受到人力和時間等多重因素制約,難以有效應對大規模、高速度和高複雜度的情報處理需求。人工智慧技術的引進,為情報偵察領域帶來革新和突破。在軍事基礎設施中,應用人工智慧技術,可建構智慧監測系統,提供高精度即時的情報感知服務。在情報偵察領域,人工智慧技術具備對多個「資訊流」進行即時處理的能力,從而大大提高分析效率。 ①透過使用深度學習等技術工具,還可以“透過現像看本質”,挖掘出各類碎片化情報信息中的深層脈絡與因果聯繫,將海量碎片化數據快速轉變為可以利用的情報,從而提升情報分析的質效。

二是為作戰指揮與決策提供資料支援。人工智慧在戰場態勢感知方面為作戰指揮和軍事決策提供有力支援。 ②其優點在於能夠進行資料探勘、資料融合以及預測分析等關鍵任務。在資訊化智能化戰爭中,戰場環境瞬息萬變,情報資訊量龐大,要求決策反應迅速且準確。因此,先進的電腦系統就成為協助指揮人員管理情報資料、進行敵情判斷、提出作戰方案建議以及擬制計畫與命令的重要工具。以美軍為例,美國雷神科技公司(Raytheon Technologies Corporation)研發的ISTAR(情報、監視、目標辨識與追蹤)系統,涵蓋了情報採集、監視、目標辨識及追蹤功能,可匯聚來自衛星、艦船、飛機及地面站等多元資訊來源的數據,並對其進行深度分析與處理。這不僅顯著提高了指揮官獲取資訊的速度,而且可藉助智慧分析系統提供數據支持,使決策更加快速、高效和精準。

第三是為無人作戰系統提供重要支撐。無人作戰系統是一種無需人類直接操縱,便可獨立完成軍事任務的新型武器裝備系統,主要包括智慧化無人作戰平台、智慧化彈藥和智慧化作戰指揮控制系統等組成部分,具備顯著的自主性和智慧化特徵。無人作戰系統,作為引領未來戰爭形態變革的技術裝備,成為國家間軍事競爭的重要籌碼。該系統透過運用自主導航、目標辨識、路徑規劃等關鍵技術,實現了不同戰場環境及作戰空間的適應能力。透過深度學習、強化學習等先進演算法,無人作戰系統能夠獨立完成導航任務,並實現精準打擊目標。這種系統的設計理念是“平台無人,系統有人”,其本質是對有人作戰系統的智慧化延伸。例如,美國國防部高級研究計畫局(DARPA)研發的「MQM-57獵鷹者」無人機,就採用了先進的人工智慧技術,具備高度自主的目標識別和追蹤功能。

四是為軍事後勤與裝備保障提供技術支援。在資訊化戰爭的背景下,戰爭進程加快、機動性提升、作戰消耗顯著增加。傳統的「超量預儲」保障模式已無法適應現代戰場快速變化的需求,因此,對作戰部隊進行適時、適地、適需、適量的快速精確後裝保障提出了更高的要求。人工智慧作為一種具有溢出帶動和交叉融合特性的技術,與物聯網、大數據、雲端運算等尖端技術相互融合,使得人工智慧知識群、技術群和產業群全面滲透到軍事後裝領域,顯著提升了後勤裝備保障能力。

主要國家紛紛佈局人工智慧軍事應用。

為增強人工智慧領域的全球競爭力,美國、俄羅斯、日本等主要大國加緊人工智慧軍事應用的戰略佈局。首先,透過更新和調整人工智慧領域的頂層策略規劃,為未來的發展提供明確指導;其次,針對未來戰爭需求,加速人工智慧技術與軍事領域的深度融合,推動裝備系統的智慧化、自主化和無人化發展;此外,積極創新作戰概念,以驅動作戰力量創新,進而提升作戰效能和競爭優勢。

一是製定戰略規劃。基於技術霸權追求軍事霸權、政治霸權、經濟霸權的戰略偏執,美國正加速自體軍事智慧化進程。 2023年11月,美國國防部發布《數據、分析與人工智慧採用戰略》,旨在擴展整個國防部體系的先進能力,以獲得持久的軍事決策優勢。俄軍頒布被稱為「3.0版本」的《2024年至2033年俄羅斯武器裝備發展綱要》,旨在為未來10年武器裝備發展提供指導,綱要強調繼續推進核武器和常規武器建設,並重點研究人工智慧和機器人技術、高超音速武器和其他基於新物理原理的打擊兵器。

二是研發先進裝備系統。美軍自2005年開始每隔幾年都會發布一版“無人系統路線圖”,以展望並設計空中、地面、水面/水下等各領域無人系統平台,貫通研發—生產—測試—訓練—作戰—保障等無人化武器裝備發展鏈路。目前,世界上已有70多個國家可以研發無人化系統平台,各種類型的無人機、無人車、無人船(艇)、無人潛航器如雨後春筍般不斷出現。 2024年7月15日,美軍參會前主席馬克‧米利接受《美國防務新聞》採訪時稱,到2039年,三分之一的美軍部隊將由機器人組成。俄軍研發的平台-M作戰機器人、「柳葉刀」自殺式無人機和S70「獵人」重型無人機等,已投入實戰檢驗。

三是創新未來作戰概念。作戰概念是對未來戰爭樣式與作戰方式進行的前瞻性研究,往往可牽引新的作戰力量編組及武器裝備跨越發展。美軍近年來提出「分散式殺傷」「多域戰」「馬賽克戰」等作戰概念,試圖引領軍事變革的發展方向。以“馬賽克戰”為例,該作戰概念將各種感測器、通訊網路、指揮控制系統、武器平台等視為“馬賽克碎片”,這些“碎片”單元在人工智慧技術賦能支援下,透過網路資訊系統可動態連結、自主規劃、協同組合,從而形成一個按需整合、極具彈性、靈活機動的殺傷網。 2022年3月,美國國防部發布《聯合全域指揮控制(JADC2)戰略實施計畫》,該計畫旨在將多域作戰向全局作戰概念拓展,將各軍種感測器連接到一個統一「物聯網」中,利用人工智慧演算法幫助改善作戰指揮決策。 ③

戰爭衝突刺激人工智慧武器化進程。

近年來,利比亞衝突、納卡衝突、烏克蘭危機、哈以衝突等局部衝突不斷,進一步刺激了人工智慧武器化的發展進程。

在利比亞衝突中,交戰雙方採用多種型號無人機執行偵察和作戰任務。根據聯合國利比亞問題專家小組發布的報告指出,土耳其製造的「卡古-2」(Kargu-2)無人機2020年在利比亞執行了「追捕並遠程交戰」行動,可自主攻擊撤退中的敵方士兵。這事件標誌著致命性自主武器系統在實戰中的首次運用。如美國學者扎卡里·卡倫伯恩所述,若有人在此類自主攻擊中不幸喪生,這極有可能是歷史上首個已知的人工智慧自主武器被用於殺戮的例子。在2020年納卡衝突中,阿塞拜疆運用土耳其生產的「旗手」TB2無人機編隊和以色列生產的「哈洛普」無人機成功突破了亞美尼亞防空系統,掌握了戰場制空權和主動權。 ④ 阿塞拜疆軍隊無人機作戰的顯著成效,在很大程度上源於亞美尼亞軍隊的「輕敵」心態,對無人機在現代戰爭中的重要性和威脅性認識不足。其次,從進攻策略的角度來看,阿塞拜疆軍隊在無人機戰法上進行了大膽的創新。他們靈活運用察打一體無人機和巡彈等先進裝備,不僅提升了作戰效率,也大大增強了戰鬥的突然性和致命性。 ⑤

在2022年爆發的烏克蘭危機中,俄羅斯和烏克蘭都廣泛使用軍用級和商用無人機執行偵察監視、火砲瞄準和打擊任務。烏克蘭軍隊透過使用「旗手」TB2無人機以及美國援助的「彈簧刀」系列自殺式無人機,實施精準打擊和高效殺傷,成為令世界矚目的「戰場殺手」。在哈以衝突中,以色列軍方被指控使用名為「薰衣草」(Lavender)的人工智慧系統來識別並鎖定加薩境內的轟炸目標,曾將多達3.7萬名加薩巴勒斯坦人標記為「武裝分子」嫌疑對象,並將其認定為可直接「暗殺」的目標,以軍事行動引發了國際社會廣泛關注和譴責對象。 ⑥

人工智慧武器化帶來的​​安全風險

從自動化指揮系統到智慧無人作戰平台,再到網路防禦中的智慧決策系統,人工智慧技術在軍事領域的應用正變得愈發普遍,已成為現代戰爭不可或缺的一部分。然而,在人工智慧武器化的趨勢下,其誤用、濫用甚至惡意使用,也將為國際安全帶來不可忽視的風險挑戰。

加劇軍備競賽,打破戰略平衡。

在資訊化智能化時代,人工智慧所具有的顛覆潛力讓軍事大國都難以抗拒,紛紛聚焦人工智慧軍事能力的開發與運用,唯恐在這一領域落後而喪失戰略機會。深化人工智慧軍事應用,則能夠以更低成本、更高效率的方式獲得「非對稱優勢」。

一是各國紛紛搶抓「先行者優勢」。當一個國家在智慧武器系統開發領域取得技術領先地位時,意味著該國具備更高階的人工智慧和相關應用能力,使其在武器系統開發、控制和緊急應變等方面具有先發優勢。這種優勢包括更高的自主性、智慧化程度和自適應能力,從而增加了該國的軍事實力和戰略競爭優勢。同時,先行者的軍事優勢可能會成為競爭對手的安全威脅,導致各國在先進技術的軍事應用上呈現出你爭我趕的態勢。 ⑦ 2023年8月,美國國防部副部長凱瑟琳·希克斯宣布了「複製者計畫」(Replicator initiative),該倡議力求在不到兩年的時間內在印太地區部署數千個「自主武器系統」。 ⑧

二是各國人工智慧軍備建設的不透明性可能加劇軍備競賽。這主要有兩個方面的原因:一是人工智慧技術是一種可用於設計多種應用的“使能技術”,這意味著人工智能軍事應用具體情況核查難度較高,難以像核武器可以通過對鈾、離心機以及武器和運載系統的監測來判斷一個國家是否在進行核武器的開發或部署。半自主、完全自主武器系統之間的差異主要是由於電腦軟體演算法不同導致的,很難透過物理核查手段來對各國的條約執行情況進行核查。二是各國為了維持己方的戰略優勢,往往對先進技術的軍事應用相關細節採取保密措施,使對手無法探知其戰略意圖。在當前國際環境中,這種不透明性不僅加劇了軍備競賽,更為未來衝突升級埋下了伏筆。

三是各國戰略意圖的不確定性也會加劇軍備競賽。人工智慧對於戰略穩定、核威懾和戰爭升級的影響,很大程度上取決於他國對其能力的感知,而非其實質能力。正如美國學者托馬斯·謝林指出,國際關係常常具有風險競爭的特徵,更多的是對勇氣而不是武力的考驗,主要對手之間的關係是由哪一方最終願意投入更大的力量,或使之看起來即將投入更大的力量來決定的。 ⑨ 一個行為體對於他者能力的感知,無論真假,都會在很大程度上影響軍備競賽進程。如果一個國家大力發展智慧武器系統,競爭對手在不確定對方意圖的情況下,會對競爭對手的軍備能力及發展軍備的意圖產生猜忌,往往採取對等措施,即透過發展軍備來滿足自身安全需求。正是這種意圖的模糊性刺激了技術積累,加劇武器部署的不穩定性,最終導致惡性循環。

賦能作戰流程,增加衝突風險。

在大數據與人工智慧技術賦能下,傳統作戰流程將實現智慧化再造,即由「態勢感知—指揮決策—攻防協同—綜合保障」轉向「全局態勢智慧認知—人機一體混合決策—有人/無人自主協同—主動按需精準保障」轉變。然而,作戰流程的智慧化再造雖然提高了作戰的效率和精準性,但也提升了衝突和誤判的風險。

一是以「機器速度」爆發的戰爭將增加倉促行動的風險。人工智慧武器系統在精確度和反應速度上表現出強大的能力,使得未來戰爭將以「機器速度」爆發。 ⑩ 但戰爭速度過快也將增加衝突風險。在飛彈防禦、自主武器系統和網路空間等重視自主性以及反應速度的領域,更快的反應速度將帶來巨大的戰略優勢,同時也極大地壓縮了防禦方對軍事行動作出反應的時間窗口,導致作戰指揮官和決策者置身於巨大的「時間壓力」之下,加劇了「倉促行動」的風險,並增加了危機意外升級的可能性。

二是依賴系統自主性可能增加壓力下的誤判幾率。美國國防部認為,「高度自主化的人工智慧系統,能夠根據任務參數的動態變化,自主選擇並執行相應操作,高效實現人類預設的目標。自主性的增加不僅大幅減少了對人力的依賴,提高了整體操作效率,更被國防規劃者視為保持戰術領先、確保戰場優勢的關鍵要素。」⑪然而,由於人類指揮官無法做出足夠快的決定權,可能會逐漸增加自己。 2003年3月,美國「愛國者」飛彈系統曾錯誤地將友軍的「龍捲風」戰鬥機標記為反輻射飛彈,指揮人員在只有幾秒鐘反應時間的壓力狀態下,選擇發射飛彈,造成了兩名飛行員的死亡。 ⑫

三是削弱了危機終止機制的有效性。冷戰時期,美蘇主導建構了一系列限制性措施來遏止危機的升級,避免其演變為大規模的核戰。在這些措施中,人類扮演著至關重要的「監督者」角色,在可能出現風險失控時,能夠在充足的時間內啟動終止措施,避免大規模人道災難發生。但是,隨著人工智慧系統運算能力的提升及其與機器學習的深度融合,作戰反應變得更為迅捷、精確和具有破壞性,人類對於危機的終止幹預機制將可能被削弱。

戰爭問責困難,增加附帶傷亡。

人工智慧武器系統使得戰爭責任更難界定。在傳統作戰模式下,由人類控制武器系統,一旦造成失誤或危機,人類操作員或作業系統的研發者將承擔相應的責任。人工智慧技術本身弱化了人類的能動性和控制能力,致使技術性行為的責任歸屬變得模糊不清。

一是人工智慧「黑箱」問題。儘管人工智慧在處理和分析資料方面有著顯著優勢,但是其內部運作規律和因果邏輯卻常常難以被人類理解和解釋,這使得程式設計師難以對錯誤演算法進行糾偏除誤,這一問題常常被稱為演算法模型的「黑盒子」。一旦人工智慧武器系統產生安全危害,「演算法黑箱」可能成為相關責任方推卸責任的合理化藉口,追責者只能面臨泛化的卸責與推諉,並將責任矛頭指向人工智慧武器系統。在實踐中,如果無法理解並解釋人工智慧的決策過程,可能會引發一系列的問題,如決策失誤、信任危機、資訊濫用等。

二是軍事行動中人機責任劃分問題。當人工智慧系統出現故障或決策失誤時,是否應將其視為一種獨立的實體來承擔責任?或者,是否應該將其視為一種工具,由人類操作者承擔全部或部分責任?這種責任劃分的複雜性不僅在於技術層面,更在於倫理和法律層面。一方面,人工智慧系統雖然能夠自主決策,但其決策過程仍受到人類預設的程式和演算法限制,因此其責任無法完全獨立於人類之外。另一方面,人工智慧系統在某些情況下可能會超越人類的預設範圍,做出獨​​立的決策,此時其責任又該如何界定,也成為軍控領域的難題。

三是人與人工智慧武器系統的決策權分配問題。依照機器自主權限的不同,人工智慧系統能夠以半自主、有監督式自主以及完全自主三種決策與控制方式執行任務。在半自主系統中,行動的決策權由人類掌控;在有監督式自主行動中,人類實施監督並在必要時幹預;在完全自主行動中,人類不參與行動過程。隨著人工智慧軍事應用程度的逐漸加深,人類在作戰系統中的角色正經歷由傳統的「人在迴路內」模式逐步向「人在迴路」轉變,人類從系統內部的直接操控者演化為系統外部的監督者。然而,這項轉變也引發了新的問題。如何確保人工智慧武器系統在獨立運作時仍能遵循人類倫理和價值觀,這是當前人工智慧武器研發領域面臨的重大挑戰。

降低擴散門檻,導致誤用濫用。

傳統的戰略競爭通常涉及大規模的武器系統研發和採購,需要大量資金和技術支援。人工智慧技術成熟擴散後,具有易取得且價格低廉等優勢,即便是中小國家也可能具備開發先進智慧武器系統的能力。目前,軍用人工智慧領域的戰略競爭主要集中在美俄等軍事大國之間。但長遠來看,人工智慧技術的擴散將擴大戰略競爭的範圍,對現有的戰略平衡構成破壞性威脅。一旦掌握人工智慧技術的較小規模國家擁有相對較強的競爭力,這些國家在面臨大國威脅時發起對抗的意願可能就會增強。

一是人工智慧有助於發展一些輕便靈巧的作戰手段,從而鼓勵一些中小國家或非國家行為體利用其開展小型的、機會主義的軍事冒險,以更低廉的成本和更豐富的途徑來達到其戰略目地。二是人工智慧的快速發展使得網路戰、電子戰等新型戰爭形態日益凸顯。在競爭激烈的戰場環境中,惡意的第三方行為體可以透過操縱資訊來影響軍事規劃和戰略威懾,導致局勢升級。在2022年爆發的烏克蘭危機中,就有眾多網路假訊息傳播混淆視聽。三是人工智慧技術的廣泛應用也降低了戰略透明度。傳統的軍事戰略往往依賴大量的情報收集、分析和預測,而在人工智慧技術的輔助下,作戰計畫和決策過程變得更加複雜和難以預測。這種不透明性可能導致誤解和誤判,增加了衝突升級的風險。

人工智慧武器化安全風險的治理路徑

為確保人工智慧安全發展,避免其武器化帶來的​​潛在危害,應加強國際間的治理戰略溝通,尋求各國在人工智慧軍事應用方面的共識與協作;推進法律法規對話協調,以形成統一規範的法律框架;加強人工智慧倫理的約束,確保技術發展符合道德標準;積極參與全球安全治理合作,共同維護國際社會的和平與穩定。

高度重視國際層面戰略溝通。

人工智慧治理是全球性問題,需要各國通力合作,共同解決。在國際舞台上,各國利益交融與利益衝突並存,因此,透過有效的溝通管道來處理全球性議題成為維護世界和平與發展的關鍵。

一方面,要精準掌握人工智慧國際治理挑戰。既要掌握各國對人工智慧武器化發展的共識,也要密切關注各國在人工智慧武器化應用安全治理方面的政策差異,透過協商合作,使相關倡議與聯合國議程相協調,從而有效防止人工智慧在軍事上的濫用,推動人工智慧用於和平目的。

另一方面,推動各國政府透過官方或半官方對話,達成相關協議,建立戰略互信。相較於政府層面的“1軌對話”,“1.5軌對話”指的是政府官員與民間人士共同參與的對話,而“2軌對話”則是由學者、退休官員等進行的民間非官方形式的對話。這兩種對話形式具有更高的彈性,是政府間官方對話的重要補充和輔助。透過多樣化的對話交流方式,官方和民間人士可以廣泛諮詢軍備控制的可能實現路徑,分享經驗和專業知識,以避免軍備競賽的升級和緊張局勢的惡化。這些對話機制將為各國提供持續的溝通與合作平台,有助於增進相互理解、加強戰略互信,共同因應人工智慧軍事化應用帶來的挑戰。

科學制定人工智慧法律和倫理規約。

人工智慧技術本身並無對錯善惡之分,但對於人工智慧的設計、研發、製造、使用、運作以及維護確有善惡意圖之別。人工智慧武器化引發了廣泛的倫理關注。國際法框架下,自主武器系統是否能夠在複雜戰場上精準區分戰鬥人員與平民?此外,若人工智慧武器系統導致非預期的傷害,其責任歸屬如何界定?將關乎生死的決策權交付於機器,這項做法是否符合道德倫理標準?這些擔憂凸顯了加強人工智慧倫理約束的必要性。

一方面,要堅持倫理先行,從技術源頭融入「智能向善」的概念。在人工智慧軍事系統的設計過程中,將以人為本、智能向善等價值觀內嵌於系統中。其目的是從源頭杜絕人工智慧可能引發的濫殺濫傷行為,控制其過度殺傷力,防範意外毀傷的發生,從而將人工智慧武器系統所帶來的毀傷程度限制在盡可能小的範圍內。目前,國內外已有近百家機構或政府部門發佈各類人工智慧倫理原則文件,學術界和產業界亦就人工智慧基本倫理原則達成共識。 2022年,中國向聯合國遞交的《關於加強人工智慧倫理治理的立場文件》為全球人工智慧倫理監管的發展提供了重要參考。文件明確強調,應透過制度建置、風險管控、協同共治等多方面的措施來推動人工智慧倫理監管。

另一方面,要完善相關法律法規,明確人工智慧主體的權責邊界。制定嚴格的技術審核標準,確保人工智慧系統的安全性和可靠性。在人工智慧系統上線前進行全面的測試,確保其不會對人類生活和社會秩序造成負面影響。明確開發者、使用者、維護者等各方在人工智慧系統全生命週期中的法律責任,以及建立相應的追責機制。

務實參與人工智慧安全治理國際合作。

人工智慧軍事應用所帶來的戰略風險,更凸顯國際安全務實合作的重要性。建議重點從三個面向著手:

一是推動制定人工智慧在軍事領域的運用準則。制定人工智慧軍事應用的行為準則,是各國規範人工智慧軍事應用的重要責任,也是推動國際共識和遵守國際法規的必要措施。中國政府在2021年向聯合國《特定常規武器公約》大會提交了《中國關於規範人工智慧軍事應用的立場文件》,2023年發布《全球人工智慧治理倡議》,這些都為完善規範人工智慧軍事應用的行為準則提供了建設性參考。

二是建立適用的監理架構。人工智慧軍民兩用性使其涉及眾多利益攸關方,一些非國家行為體如非政府組織、技術社群、科技企業在人工智慧全球治理過程中的作用將更加突出,成為人工智慧軍事應用監管框架建設的重要力量。各國可採取的技術監管措施包括:明確人工智慧技術的使用範圍、責任主體和違規處罰措施;加強技術研發,提高技術的安全性和可控性;建立監管機制,對技術的研發和應用進行全程監管,及時發現和解決問題。

三是共同研發人工智慧安全防範技術和解決方案。鼓勵將政府間和軍隊間的雙邊或多邊談判納入軍用人工智慧應用的對話選項,就軍用人工智慧安全防範技術、操作規程及實踐經驗廣泛交流,推動相關風險管理技術標準和使用規範的分享借鑒,為人工智慧軍事化背景下的國際安全互信機制不斷注入新的穩定因素。

(作者為國防科技大學國防科技戰略研究智庫主任、研究員,博導;國防科技大學外國語學院碩士研究生劉胡君對本文亦有貢獻)

中國原創軍事資源:http://paper.people.com.cn/rmlt/pc/content/202502/05/content_30059349.html