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Stanford EE

Scientific Machine vs. Power Politics: Conflict Anticipation and the Black Box of Al

Summary
Johanna Rodehau-Noack (International Security Postdoctoral Fellow, Center for International Security and Cooperation, Stanford University)
William J. Perry Conference Room, Encina Hall
May
8
Date(s)
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How does artificial intelligence shift power in international security? A burgeoning literature in international politics and security studies has documented its effects on the balance of power, strategic stability, and the future of warfare. In this work, power is largely material, if not kinetic, and the specifics of technologies are treated mostly as peripheral. By recovering classical International Relations theory in the form of Hans Morgenthau's work on the role of scientific rationalism in guiding political decision- making and combining it with insights from Science and Technologies Studies, this paper investigates the role of so-called intelligent technologies, in particular machine learning, in the knowledge production for conflict prevention. Such technologies are met with enthusiasm in the policy sphere, prompting a wide range of actors in the field of conflict prevention to integrate them into their analyses. Leveraging original elite interviews with conflict modelers, practitioners, and policymakers, this paper tentatively argues the rush towards integrating Al and ML is not primarily about improving predictive analytics in terms of scale, speed, and cost, but about creating options and justifications for (in)action.