Spirals of Delusion: How AI Distorts Decision-Making and Makes Dictators More Dangerous – with Abraham Newman and Jeremy Wallace

In policy circles, discussions about artificial intelligence invariably pit China against the United States in a race for technological supremacy. If the key resource is data, then China, with its billion-plus citizens and lax protections against state surveillance, seems destined to win. Kai-Fu Lee, a famous computer scientist, has claimed that data is the new oil, and China the new OPEC. If superior technology is what provides the edge, however, then the United States, with its world class university system and talented workforce, still has a chance to come out ahead. For either country, pundits assume that superiority in AI

Henry Farrell, Abraham Newman and Jeremy Wallace, “Spirals of Delusion: How AI Distorts Decision-Making and Makes Dictators More Dangerous,” Foreign Affairs, September/October 2022 (Centennial Issue).

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Other Writing:

Chapter in an Edited Volume

“Transnational Actors and the Transatlantic Relationship in E-Commerce” in The Negotiation of the Safe Harbor Arrangement, Creating a Transatlantic Marketplace – ed. Michelle Egan

In the recent past, scholars have sought better to understand the evolving EU-US relationship, both in its own right, and as an important example of emerging forms of international governance.1 Particular attention has been paid to the important role that transnational actors have begun to play in this relationship. Business, consumer, labour and environmental interests ...
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Academic Article

Trust, Institutions and Institutional Evolution: Industrial Districts and the Social Capital Hypothesis – with Jack Knight

Much current work in the social sciences seeks to understand the effects of trust and social capital on economic and political outcomes. However, the sources of trust remain unclear. In this article, the authors articulate a basic theory of the relationship between institutions and trust. The authors apply this theory to industrial districts, geographically concentrated ...
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