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한국어로 읽기 Leer en español In Deutsch lesen Gap اقرأ بالعربية Lire en français Читать на русском AbstractThis paper draws on rapidly emerging literature on the role of artificial intelligence in military conflicts and warfare as well as its implications for international security. It departs from an assumption that the emerging technology will have a deterministic and potentially transformative influence on military power.This project intends to ascertain the role of autonomous weapons in modern military conflicts. In doing so, it further adds to the recent debates, which take place among scholars, military leaders as well as policy makers around the world regarding the potential for AI to be the source of future instability and a great power rivalry.It is suggested that there is an urgent need to regulate the development, proliferation and usage of autonomous weapons and weapon systems driven by AI before it is too late – namely the AI achieves cognizant skills. 1.DefinitionsEncyclopedia Britannica proposes that artificial intelligence (AI) is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.1Interestingly enough AI defines itself as referring to the simulation of human intelligence processes by machines, particularly computer systems. These processes include learning, reasoning, problem-solving, perception, and language understanding. AI enables machines to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and natural language processing. AI technologies encompass machine learning, neural networks, deep learning, and other advanced algorithms that allow machines to mimic cognitive functions.2In the context of the military, artificial intelligence refers to the utilization of AI technologies and systems to enhance military capabilities, operations, and decision-making processes. Military applications of AI include autonomous weapons systems, drones, cyber defense mechanisms, predictive analytics for strategic planning, and battlefield surveillance. AI can be used to analyze large volumes of data quickly, identify patterns, and make real-time decisions to support military objectives. While AI offers significant advantages in terms of efficiency and precision, there are ethical considerations and concerns regarding the potential risks of autonomous AI systems in warfare.32. AI in the War in Ukraine and Israel vs. Hamas - UkraineThe ongoing war in Ukraine is arguably the first “full scale drone War”, which also employs loitering munitions, autonomous ships, undersea drones for mine hunting and uncrewed ground vehicles being deployed.AI is heavily used in systems that integrate target and object recognition and geospatial intelligence. Analysis of satellite images, geolocating and analysing open-source data such as social media photos in geopolitically sensitive locations. On top of that neural networks are used, for example, to combine ground-level photos, drone video footage and satellite imagery.AI-enhanced facial recognition software has also been used on a substantial scale. AI is playing an important role in electronic warfare and encryption as well as cyber warfare, especially in support of defensive capabilities. Finally, AI has also been employed to spread of misinformation - the use of deep fakes as part of information warfare. The emergence of this new technology has created new actors, private companies further fueling the so-called privatisation of security: Palantir Technologies, Planet Labs, BlackSky Technology and Maxar Technologies are some examples of such.The AI driven systems make a fundamental change in the field so much so that the combined use of aerial and sea drones in the October (2022) attack on Russia’s Black Sea flagship vessel, the Admiral Makarov, was perceived by some analysts as perhaps a new type of warfare.4What makes this conflict unique is the unprecedented willingness of foreign geospatial intelligence companies to assist Ukraine by using AI-enhanced systems to convert satellite imagery into intelligence, surveillance, and reconnaissance advantages. U.S. companies play a leading role in this.These examples illustrate that the current conflict in Ukraine is a testing ground for AItechnology.- Israel vs. HamasIsraeli military says it’s using artificial intelligence to select many of these targets in real-time. The military claims that the AI system, named “the Gospel,” has helped it to rapidly identify enemy combatants and equipment, while reducing civilian casualties.5 Allegedly, multiple sources familiar with the IDF’s (Israel Defensive Forces) targeting processes confirmed the existence of the Gospel, saying it had been used to produce automated recommendations for attacking targets, such as the private homes of individuals suspected of being Hamas or Islamic Jihad operatives. In recent years, the target division has helped the IDF build a database of what sources said was between 30,000 and 40,000 suspected militants. Systems such as the Gospel, they said, had played a critical role in building lists of individuals authorised to be assassinated.6 According to IDF’s own website the use of these tools does not change the obligatory principles and rules in the Intelligence Directorate's SOP and related instructions. They do not generate orders for attacks. They do not generate new intelligence that could not otherwise be accessed by an intelligence analyst. They do not constitute the sole basis for determining targets eligible to attack – regardless of how accurate they are. On the contrary, these tools improve the quality of the intelligence process outcome. They facilitate the accessibility of the analyst to relevant information, and help the analyst be more informed of the most up-to-date and relevant intelligence sources, making the analyses more precise. They reduce the risk of errors that may occur in intelligence analyses.7 3. AI and War As far as the role of AI driven technologies and software is concerned it is probably useful to think about them as the third revolution in warfare. The first one being mostly about gunpowder and the second one being about nuclear weapons.Additionally, one should also bear in mind that AI is closely related to the so-called cyber domain, which in the literature is often referred to as the fifth domain of warfare. (The first one being land, the second being sea, the third being air and the forth being space, as in cosmic space.)While AI and associated technologies hold potential for reducing harms of war if developed and applied responsibly, there exist significant risks of technological escalation, loss of human control and value alignment that demand proactive international cooperation and oversight to guide research and use of these systems. Nonetheless all major powers, including US and China are working nonstop to develop relevant AI driven military systems hoping to achieve potential advantages against each other. These technologies include: machine learning/deep learning applications with military uses like drone/vehicle autonomy, cyber/info warfare and predictive analytics of populations/scenarios.At the same time AI poses novel challenges and escalatory risks that differ from past arms races and call for new frameworks of governance and norms. Autonomous weapons threaten to undermine international humanitarian laws by removing human accountability from targeting - problems of biases, uncertain risks of loss of meaningful human control. Other related risks include preemptive/predictive AI for mass surveillance, social control and information warfare which is likely to erode principles of sovereignty, privacy and consent.It does not take the stretch of imagination to expect a certain level of ‘techno-tyranny’ in the future. Job losses to robotic systems are probably a given and as such risk further politico-economic instability. This consequently calls for just transitions and perhaps even a universal basic income.The Opaque ‘black box’ nature of neural networks hinders verification and accountability, fuelling distrust. Furthermore, there is a potential for accidental or unintentional escalation. Without safeguards and transparency, AI may ultimately serve military-industrial complexes and geopolitical ambitions rather than global security needs.The fast-emerging technology needs to be urgently regulated. International initiatives for AI governance (norms or regimes) will probably have to be introduced by the UN and its technical bodies. These will have to include outcome accountability’ through system design, impact assessments, red lines on certain applications and universal access to benefits.As warns Heidy Khlaaf, Engineering Director of AI Assurance at Trail of Bits, a technologysecurity firm warns “AI algorithms are notoriously flawed with high error rates observed across applications that require precision, accuracy, and safety,”8Reportedly, in a simulation of a military exercise carried out by US Military Force, an AI drone 'killed operator' after going rogue. The robot worked out its controller was stopping it 'completing objectives on test.9In parallel, Chinese scientists create and cage world’s first AI commander in a PLA laboratory. “The highest-level commander is the sole core decision-making entity for the overall operation, with ultimate decision-making responsibilities and authority,”104. AI and International SecurityIn terms of national security-level applications of an AI, one can clearly identify numerous milieu:- MilitaryAI is transforming military operations by enabling autonomous systems, such as drones and robots, to perform tasks that were previously carried out by humans. These systems can be used for surveillance, reconnaissance, target identification, and even combat. AI-powered algorithms can analyze vast amounts of data to provide real-time intelligence, enhance situational awareness, and support decision-making processes on the battlefield- CybersecurityAI is crucial in combating cyber threats, as it can detect and respond to attacks more effectively than traditional security measures. Machine learning algorithms can analyze network traffic patterns, identify anomalies, and detect potential breaches. AI can also help develop predictive models to anticipate future cyber threats and vulnerabilities, allowing organizations to strengthen their defenses proactively.- Intelligence and SurveillanceAI enables intelligence agencies to process and analyze massive volumes of data, including social media feeds, satellite imagery, and communication intercepts. Natural Language Processing (NLP) algorithms can extract valuable insights from unstructured data sources, aiding in counterterrorism efforts, identifying potential threats, and monitoring geopolitical developments.- Decision Support SystemsAI can assist policymakers and military leaders in making informed decisions by providing predictive analysis and scenario modeling. Machine learning algorithms can analyze historical data, identify patterns, and generate forecasts regarding potential  conflicts, resource allocation, or geopolitical developments. This helps in strategic planning and resource optimization.- Autonomous Weapons SystemsThe development of autonomous weapons systems raises ethical concerns and challenges in international security. AI-powered weapons can operate without direct human control, leading to debates about accountability, proportionality, and adherence to international humanitarian law. International efforts are underway to establish regulations and norms governing the use of such systems.- Diplomacy and Conflict ResolutionAI can facilitate diplomatic negotiations and conflict resolution by providing data-driven insights and analysis. Natural Language Processing algorithms can assist in analyzing diplomatic texts, identifying common ground, and suggesting potential compromises. AI can also simulate scenarios and predict the outcomes of different negotiation strategies, aiding diplomats in finding mutually beneficial solutions.- Threat Detection and PreventionAI can enhance early warning systems for various threats, including terrorism, nuclear proliferation, and pandemics. Machine learning algorithms can analyze patterns in data to identify potential risks and predict emerging threats. This enables governments and international organizations to take proactive measures to prevent or mitigate these risks.5. ConclusionIn the world of microelectronics, experts often talk about Moore's law: the principle that the number of transistors on chips doubles every two years, resulting in exponentially more capable devices. The law helps explain the rapid rise of so many technological innovations, including smartphones and search engines.Within national security, AI progress has created another kind of Moore's law. Whichever military first masters organizing, incorporating, and institutionalizing the use of data and AI into its operations in the coming years will reap exponential advances, giving it remarkable advantages over its foes. The first adopter of AI at scale is likely to have a faster decision cycle and better information on which to base decisions. Its networks are likely to be more resilient when under attack, preserving its ability to maintain situational awareness, defend its forces, engage targets effectively, and protect the integrity of its command, control, and communications. It will also be able to control swarms of unmanned systems in the air, on the water, and under the sea to confuse and overwhelm an adversary.11References*This paper was presented at International Studies Association 65th Annual Convention. San Francisco, California April 3rd – 6th 20241 Copeland, B. (2024, March 15). Artificial intelligence. Encyclopedia Britannica. https://www.britannica.com/technology/artificial-intelligence2 How do you define artificial intelligence? ChatGPT, GPT-4 Turbo, OpenAI, 2024, October 25. https://genai.hkbu.edu.hk/3 How do you define artificial intelligence in the context of the military? ChatGPT, GPT-4 Turbo, OpenAI, 2024, October 25. https://genai.hkbu.edu.hk/4 Fontes, R. and Kamminga, J. (2023, March 24). Ukraine A Living Lab for AI Warefare. National Defence. NDIA’s Bussiness Technology Magazine. https://www.nationaldefensemagazine.org/articles/2023/3/24/ukraine-a-living-lab-for-ai-warfare5 Brumfiel, G. (2023, December 14). Israel is using an AI system to find targets in Gaza. Experts say it’s just the start. Wisconsin Public Radio. https://www.wpr.org/news/israel-using-ai-system-find-targets-gaza-experts-say-its-just-start6 ‘The Gospel’: how Israel uses AI to select bombing targets in Gaza. (2023, December 1). The Guardian. https://www.theguardian.com/world/2023/dec/01/the-gospel-how-israel-uses-ai-to-select-bombing-targets 7 The IDF's Use of Data Technologies in Intelligence Processing. (2024, June 18). IDF Press Releases: Israel at War. https://www.idf.il/en/mini-sites/idf-press-releases-israel-at-war/june-24-pr/the-idf-s-use-of-data-technologies-in-intelligence-processing/8 Brumfiel, G. (2023, December 14). Israel is using an AI system to find targets in Gaza. Experts say it’s just the start. Wisconsin Public Radio. https://www.wpr.org/news/israel-using-ai-system-find-targets-gaza-experts-say-its-just-start9 Bowman, V. (2023, June 2). AI drone 'killed operator' after going rogue on simulation. The Telegraph. https://www.telegraph.co.uk/world-news/2023/06/02/us-air-force-ai-military-drone-goes-rogue-simulation/10 Chen, S. (2024, June 16). Chinese scientists create and cage world’s first AI commander in a PLA laboratory. South China Morning Post. https://www.scmp.com/news/china/science/article/3266444/chinese-scientists-create-and-cage-worlds-first-ai-commander-pla-laboratory?module=top_story&pgtype=homepage 11 Flournoy, Michèle A. 2023. “AI Is Already at War.” Foreign Affairs 102 (6): 56–69. https://search.ebscohost.com/login.aspx?direct=true&AuthType=shib&db=bth&AN=173135132&site=ehost-live.

Iran and Russia have entered a closer political, economic, and military relationship during the past two years, the trigger widely seen as the upsurge in defence cooperation following Russia’s full invasion of Ukraine in February 2022. This new relationship, described variously as a strategic alignment or strategic partnership, was seen by both Tehran and Moscow as necessary to meet mutual and separate critical national needs due to the restrictive effects on both of US and Western sanctions. Iran’s international affairs, since its 1979 Islamic revolution, have been largely shaped by two factors. The first is Iran’s strong adherence to national autonomy, maximum self-sufficiency, and non-alignment. The latter has included, as far as practical, a balance between East and West, or today, Global South and Global West. However, Iranians are cautious about trusting others. While, therefore, a strategic alignment with Russia, or potentially others, could be acceptable, a formal alliance that compromise’s autonomy, would not. The second factor is Iran’s relationship with the US, and in turn with Europe, other Western countries and the UN, and their use of sanctions to deter or change international adversarial differences. Iran-US relations since Iran’s 1979 Islamic revolution have been tense and conflicted, and especially with Iranian-supported regional state and non-state militia. Major US concerns include Iran’s support for “state and non-state terrorism,” human rights abuses, missile development, and their potential, some say intent, to develop a nuclear weapons capability. Decades of broadly-based US sanctions, along with EU and UN sanctions, the latter mostly nuclear related, have strongly impacted the nation. The one short period of Iran-US rapprochement commenced in 2016 when President Barack Obama successfully brought Iran onboard as a signatory to the Joint Comprehensive Plan of Action (the JCPOA) or nuclear agreement. Obama’s aim was to firstly resolve the nuclear issue and use this as the stepping-stone to negotiations on other regional security issues. But this two-step process was undone by President Donald Trump‘s 2018 decision to unilaterally withdraw from the JCPOA and reimpose US primary and secondary sanctions. Trump’s action, and President Joe Biden’s subsequent “failure” to rejoin the JCPOA and repeal related US sanctions, bitterly disappointed a large cast of international stakeholders, including Iran’s moderates and other JCPOA signatories. For Iran, the US could not be trusted to seriously seek rapprochement and repeal US sanctions either before, or foreseeably after, this year’s US presidential elections. This distrust extended also to the Europeans and others who would continue to remain subject to US secondary sanctions. Iran saw its future fundamentally with countries that were willing to openly trade with them, notwithstanding US sanctions, and other countries or organisations that were prepared to overlook or actively circumvent or evade sanctions. Multilateral outreach included Iran joining two major non-aligned groups in 2023, the SCO (Shanghai Cooperation Organisation) and BRICS+6 (Brazil, Russia, India, China, South Africa + 6). These comprise some 40 percent and 46 percent respectively of the world’s population, and some 20 percent and 30 percent of global GDP. BRICS also includes some 40 percent of global oil production. Key members of both include Russia, China, and India. Saudi Arabia, the UAE, and Egypt are part of the “+6 members” of BRICS, and are also Dialogue Partners of the SCO. Both organisations offer significant additional political and economic networking opportunities and economic options. Bilaterally, the relationship between Tehran and Moscow, from its imperialist Shah/Tsar and post-revolutionary Iran and USSR/Russia iterations to the late 1980s, has had its share of tensions and conflict, including territorial disputes. The past 30-year period from the early 1990s to 2021, however, has been relatively stable. Geographic proximity, including a maritime border across the Caspian Sea, facilitated a significant increase in trade, reportedly from some US$1 billion in 2005 to US$3.3 billion in 2021. Mutual security interests also saw an increase in regional military cooperation, including joint operations against ISIS in Syria, and increased Russian sales of military equipment to Iran. The relationship changed significantly in early 2022 due to Russia’s increased military equipment needs, and to help offset the broad impact of sanctions imposed by the US, the EU, and others on Russia in response to its invasion of Ukraine. Militarily, increased Iranian defence sales to Russia have included a range of munitions, UAV (unmanned aerial vehicles) systems, and potentially Iranian short range ballistic missiles (SRBMs). The UAV deal includes the construction of a factory for manufacturing thousands of Iranian drones in Russia’s Tartarstan province. In return Russia has sold, or agreed to sell, to Iran a range of advanced weapons systems, including the S-400 air-defence missile, helicopters, and SU 34 fighters. Enhanced cyber and satellite cooperation was also agreed. Russia has also passed to Iran many of the high technology Western weapons systems captured in Ukraine, enabling Iran to evaluate, copy, and develop counter-measures. Significantly, this new level of Iranian-Russian cooperation has lifted the military capability of both, with implications for the Middle East and Ukraine respectively. But how effective have the sanctions been? Iran has been subject to harsh sanctions since 1979, and developed a “resistance economy” involving official and extensive unofficial trade and financing arrangements. Because many related statistics are unreliable or unavailable, official GDP estimates may be highly inaccurate. Importantly, however, and despite fluctuations, the World Bank shows a consistent decline in Iran’s GDP since 1979. For Russia, due to shifting markets and higher prices for oil since early 2022, their GDP contracted some 2 percent only that year compared to a prediction of more than 11 percent, and has mostly recovered since. Economically, despite the challenges of sanctions, bilateral cooperation is strong, both economies still function, and their governments remain stable. Militarily, sanctions have facilitated closer cooperation between Iran and Russia, contrary to US, NATO, and allied interests. Are there areas for the US to negotiate the lifting of sanctions with Iran and Russia? US priorities for Iran could include rejoining the JCPOA, facilitating a reduction or cessation of state and non-state militia attacks against regional Israeli, US, and related maritime targets, and restricting specified military cooperation with Russia. US priorities for Russia could include various ceasefire compromises involving the war in the Ukraine, and restricting specified military cooperation with Iran. And the likelihood of progress? For the reasons above, progress on any issue between the US and Iran is very unlikely before this year’s US presidential elections. If or when afterwards would depend in large part on who was elected. For Russia, a ceasefire compromise in Ukraine could be possible if it gave them “temporary” retention of vast tracts of land captured post-2022. Timing will be dictated by battlefield outcomes, but the US Senate approval on 13 February of an additional US$60 billion of military assistance to the Ukraine, and its likely approval by Congress, makes a ceasefire in the foreseeable future unlikely.