32 C
Dhaka
Saturday, October 12, 2024

Artificial Intelligence and International Relations Theories

- Advertisement -spot_imgspot_img
- Advertisement -spot_imgspot_img

Artificial Intelligence and International Relations Theories
By Bhaso Ndzendze and Tshilidzi Marwala
Palgrave Macmillan Singapore, 2023

Rapid and substantial advances in machine learning, computer processing, and ā€˜Big Dataā€™ have triggered an explosion of global interest and investment in artificial intelligence (AI). AIā€™s allure stems from the prevailing belief that it will radically transform life as we know it, with implications for a wide range of sectors, from healthcare, education, and transportation to defense, weapons development, and cybersecurity. As states scramble to procure this emerging technology, scholars have begun thinking about its implications for the field of international relations (IR). While some scholars are hopeful that AI may be used to improve global health outcomes and facilitate trade, others are more pessimistic, warning of escalation towards conflict and the erosion of democratic norms.Ā Artificial Intelligence and International Relations Theories, contributes to this debate by exploring whether the ā€œworld-transforming developmentā€ of AI will challenge, undermine, or validate the key assumptions and ideas that form the basis of IR theory (p.8).

The authors begin by identifying the central frameworks and paradigms that have defined the field of IR, providing a brief overview of its intellectual history and inter-paradigmatic debates. Ndzendze and Marwala make the important observation that IR theory has historically ā€˜evolvedā€™ alongside major developments or shocks to the international system, suggesting that the ā€˜age of AIā€™ could prompt the field to revisit its theoretical foundations.

To appeal to a wide, non-technical audience, the authors provide a sketch of the basic systems, algorithmic processes, and logic behind AI, and outline its trajectory from the 1950s to the contemporary era of ā€˜Big Dataā€™. Here, the authors make two important clarifications about AIā€™s potential implications for IR. First, theyĀ differentiateĀ between ā€˜narrowā€™ AI, which refers to algorithms that can ā€˜learnā€™ a specific task, and artificial ā€˜generalā€™ intelligence, a hypothetical phenomenon where AI could apply lessons learned in one scenario to an entirely different set of problems (p.36). The authors make the point that the systems currently being deployed are ā€˜narrowā€™ AI; and as such, they do not warrant fears of a dystopian near future where super-intelligent AI replaces traditional actors. This distinction cautions against the type of hyperbolic thinking thatĀ expertsĀ fear could misinform policy. Second, the authors maintain that scientific development and innovation haveĀ alwaysĀ been informed by global politics, pointing to early innovations in AI during the Cold War and the currentĀ competitionĀ between the US and China (p.39). This brief history clarifies that the politicization of emerging technologies is not unique to the current day and age.

Having provided readers with the necessary context, the remainder of the book is organized by paradigm, each chapter examining how the proliferation of AI challenges or supports its theoretical underpinnings. Throughout these core chapters, the authors make several astute observations about the risks, opportunities, and limitations of this technology and its influence on global politics. Indeed, they should be applauded for achieving what is undoubtedly an ambitious task ā€” probing a fieldā€™s intellectual history to ā€œcomprehensively articulate the implications of the growing ubiquity of AI in international relationsā€ (p.7). However, Ndzendze and Marwalaā€™s analysis includes notable gaps that reveal a lack of breadth and depth. While the authors cannot be expected to cover every minute detail of IR theory, readers may find themselves searching for more ā€” more nuance, more examples, and more interpretation of the leading intellectual debates about AIā€™s relevance for the field. Important ideas at the core of IR theory are mentioned in passing, with no real consideration of whether the concepts aptly describe the current state of international politics in the ā€˜era of AIā€™, or whether rethinking is in order. The remainder of this review will outline a few illustrative examples.

The chapter on realism makes meaningful points about AIā€™s role in the ā€œbalance-of-power rationaleā€ and the offense-defense calculus. However, it misses opportunities for a more thoughtful summary of the potential threats that AI poses to some of realismā€™s principal assumptions. Most notably, the authors overlook ongoing debates about the rise of automated decision-making and the concept of ā€˜agencyā€™. Indeed, scholars such asĀ Kiggins (2017)Ā have argued that the heightened autonomy and decision-making capabilities of weapons systems and other processes require that IR reconsider precisely what constitutes an international ā€˜actorā€™. The question of how to characterize agency has serious implications for realism; it challenges both the classical realist emphasis on the role that ā€˜human natureā€™ plays in humanityā€™s proclivity for conflict as well as structural realistsā€™ claim that unitary states are the central, ā€œnearly exclusiveā€ actors in IR (p.59). To their credit, the authors do note that ā€˜Big Techā€™ companies, responsible for developing the most cutting-edge applications of AI, are playing an increasingly important role in global politics. Further, AI is not currently capable of independent action beyond its programmed instructions, and therefore cannot be said to have ā€˜agencyā€™. The authors should be commended for their refusal to anthropomorphize AI. Yet, by failing to consider whether forms of non-human agency couldĀ eventuallyĀ challenge the realist assumption that states are the primary actor in international relations, the authors neglect urgent philosophical debates about the realist conception of ā€˜powerā€™ in an era of enhanced machine autonomy.

Perceptions of AI as a valuable instrument of economic and military power have spurred competition for this technology, seemingly validating the realist claim that states are ultimately motivated to pursue relative gains. Given that AI can bolster countriesā€™ status, the authors develop a model that measures and predicts the ā€œAI balance of powerā€ using statesā€™ innovation scores, their total number of AI patents, and technology exports relative to rivals (p.66). The intuition behind this model accurately reflects the role that domestic industry can play in access to emerging technologies. However, this model obscures the distinct characteristics that undermine the utility of simple quantification through the counting of AI ā€˜outputsā€™. The immateriality and invisibility of advanced algorithms and software differentiate these tools from conventional arms and industrial goods, which are largely material and therefore receptive to quantification. In the case of AI, however, patents and applications, including those with industrial and military applications, can reveal very distinctive purposes and capabilities; that is, not all AI patents or innovations are equal. By downplaying AIā€™s unique characteristics, the authors miss an opportunity to demonstrate preciselyĀ whyĀ states and non-state actors view AI as particularly concerning ā€” from attribution problems associated with autonomous weaponry to the covert usage of algorithms for nefarious purposes, it is the immateriality of AI that complicates efforts to predict statesā€™ AI capabilities.

The chapter on liberalism encounters similar issues. For instance, the authors note that the proliferation of AI is occurring alongside broader challenges to the ā€˜liberal international orderā€™, where ā€œdemocracy and artificial intelligence appear to be having a negative correlation with one anotherā€ (p.76). While this correlation is certainly plausible, the authors do not identify the mechanisms that explainĀ whyĀ orĀ howĀ AI is poised to challenge democracy. This omission will strike readers familiar with this topic as odd, given the large body of literature linking AI toĀ repression,Ā surveillance,Ā inequality, andĀ disinformation. Further, the authors maintain that democratic and authoritarian regimes will differ in their approaches to AI, but they do not specifyĀ how. Again, this is an important differentiation ā€” variation in authoritarian and democratic approaches to AI could tip the balance towards, or away from, a world marked byĀ ā€˜digital authoritarianismā€™. Finally, the authors mention AI within the context of international trade, but ignore a rich body of literature linking this technology to the neoliberal emphasis on the pursuit of efficiency, profit, and ā€˜progressā€™ (Lyon 2014;Ā Dimitrijević 2023;Ā Bourne 2019). In doing so, they miss the opportunity to highlight linkages between narratives that frame data-centric policies as ā€˜rationalā€™, or ā€˜objectiveā€™ and neoliberal logic.

These shortcomings continue throughout the second half of the text. The chapter on dependency theory makes no mention ofĀ the exploitation of workersĀ hired to do the precarious work of training AI systems, theĀ near-monopoly of US-based ā€˜Big Techā€™ firms on the global tech market, or the risk of instability should automation yield massive and rapidĀ changes in employment. The section on constructivist perspectives makes few references to machine-human interaction, the role of local history and context in technological development, or the mutually constitutive relationship between technological and societal change. It would normally be unfair to criticize a book solely on what it omits. However, in the context of these well-established theories, the omission of core concepts such as identity, norms, and contingency is striking.

Ultimately, Ndzendze and Marwala convince readers that IR scholars must take AI seriously. Just as competition and balance-of-power politics have influenced scientific development and innovation, AIā€™s diffusion will have significant impacts on the fieldā€™s intellectual trajectory. The concluding chapter emphasizes that no single paradigm can comprehensively capture the entirety of AIā€™s implications for war, trade, and international order, and thereby encourage inter-paradigmatic discussion, orĀ ā€˜analytical eclecticismā€™. This recommendation aligns withĀ skepticismĀ about the utility of stark divides for theory-building and testing, and as such provides scholars with a pragmatic way forward.

This bookā€™s most significant impact will be felt by scholars unfamiliar with the politics of AI or those embarking on new projects that may consider emerging technologies. It is not that it puts forth incorrect, misleading, or unsubstantiated arguments. Instead, its major shortcoming is that it leaves the reader looking for a more comprehensive and thorough analysis of its subject matter. Despite AIā€™s wide-ranging applicability and relevance for world politics, this book only scratches the surface.

References

Birhane, Abeba. 2020. ā€œAlgorithmic Colonization of Africa.ā€Ā SCRIPTed: A Journal of Law, Technology and SocietyĀ 17(2): 389ā€“409.

Bourne, C. 2019. ā€œAI Cheerleaders: Public Relations, Neoliberalism and Artificial Intelligence.ā€Ā Public Relations InquiryĀ 8(2): 109ā€“25.

Brundage, Miles et al. 2018. ā€œThe Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation.ā€

ā€œChina Is Striking Back in the Tech War With the U.S. | Time.ā€Ā https://time.com/6295902/china-tech-war-u-s/Ā (September 29, 2023).

Dimitrijević, Lazar A. 2023. ā€œSmart City Development Strategies: Data Determinism and Technological Sovereignty.ā€Ā Š”Š¾Ń†ŠøŠ¾Š»Š¾ŃˆŠŗŠø ŠæрŠµŠ³Š»ŠµŠ“Ā 57(1): 76ā€“101.

ā€œFEATURE-AI Boom Is Dream and Nightmare for Workers in Global South.ā€ 2023.Ā Reuters.Ā https://www.reuters.com/article/global-tech-workers-idAFL5N2XI2X8Ā (September 29, 2023).

Feldstein, Steven. 2019. ā€œThe Road to Digital Unfreedom: How Artificial Intelligence Is Reshaping Repression.ā€Ā Journal of DemocracyĀ 30(1): 40ā€“52.

Fletcher, John. 2018. ā€œDeepfakes, Artificial Intelligence, and Some Kind of Dystopia: The New Faces of Online Post-Fact Performance.ā€Ā Theatre JournalĀ 70(4): 455ā€“71.

Jajal, Tannya D. 2020. ā€œDistinguishing between Narrow AI, General AI and Super AI.ā€Ā Mapping Out 2050.Ā https://medium.com/mapping-out-2050/distinguishing-between-narrow-ai-general-ai-and-super-ai-a4bc44172e22Ā (September 29, 2023).

Kiggins, Ryan David. 2018. ā€œBig Data, Artificial Intelligence, and Autonomous Policy Decision-Making: A Crisis in International Relations Theory?ā€ InĀ The Political Economy of Robots: Prospects for Prosperity and Peace in the Automated 21st Century, ed. Ryan Kiggins. Cham: Springer International Publishing, 211ā€“34.Ā https://doi.org/10.1007/978-3-319-51466-6_10.

Lake, David A. 2011. ā€œWhy ā€˜Ismsā€™ Are Evil: Theory, Epistemology, and Academic Sects as Impediments to Understanding and Progress.ā€Ā International Studies QuarterlyĀ 55(2): 465ā€“80.

Leavy, Susan, Barry Oā€™Sullivan, and Eugenia Siapera. 2020. ā€œData, Power and Bias in Artificial Intelligence.ā€

Lyon, D. 2014. ā€œSurveillance, Snowden, and Big Data: Capacities, Consequences, Critique.ā€Ā Big Data and SocietyĀ 1(2).

Miller, Claire Cain, and Courtney Cox. 2023. ā€œIn Reversal Because of A.I., Office Jobs Are Now More at Risk.ā€Ā International New York Times.Ā https://proxy.library.cornell.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edsgin&AN=edsgcl.762153334&site=eds-live&scope=site.

Oā€™Shaughnessy, Matt. ā€œHow Hype Over AI Superintelligence Could Lead Policy Astray.ā€Ā Carnegie Endowment for International Peace.Ā https://carnegieendowment.org/2023/09/14/how-hype-over-ai-superintelligence-could-lead-policy-astray-pub-90564Ā (September 29, 2023).

Sil, Rudra, and Peter J. Katzenstein. 2010. ā€œAnalytic Eclecticism in the Study of World Politics: Reconfiguring Problems and Mechanisms across Research Traditions.ā€Ā Perspectives on PoliticsĀ 8(2): 411ā€“31.

ā€œThe Dangers of the Global Spread of Chinaā€™s Digital Authoritarianism.ā€Ā https://www.cnas.org/publications/congressional-testimony/the-dangers-of-the-global-spread-of-chinas-digital-authoritarianismĀ (September 29, 2023).






Donā€™t miss Any news

We donā€™t spam! Read our privacy policy for more info.

Diplomat Gazette Editorial Boardhttps://www.diplomatgazette.com/
Diplomat Gazette is the premier international current-affairs magazine for all Regions of the world. Diplomat Gazetteā€™s fast, accurate, news, commentary, and analysis are now read by more than 12 million people in 30 different countries. Find out why by signing up to our Daily Report for all your must-reads from across the world. Diplomat Gazette three main newsrooms and social media hubs are in Kuala Lumpur, Hong Kong, and New Delhi and these are supported by bureaus in Beirut, London, New York, and Singapore. In total, Diplomat Gazette has more than 180 commentators, reporters, editors and multimedia producers working across the globe and this skilled network launched a new interactive site in February 2021.
Latest news
- Advertisement -spot_img
Related news
- Advertisement -spot_img