The Oxford Handbook of AI Governance Hardback

Edited by Justin B. (Associate Professor Affiliate of Governance, Associate Professor Affiliate of Go Bullock, Yu-Che, PhD (Professor of Public Administration, Professor of Public Administration, Universit Chen, Johannes (Assistant Professor of Public Administration and International Affairs, Assis Himmelreich, Valerie M. (University Distinguished Professor, University Distinguished Professor, Texas A& Hudson, Anton (Professor of Economics, Professor of Economics, University of Virginia) Korinek, Matthew M. (Assistant Professor of Public Administration, Assistant Professor of Public Admin Young, Baobao (Maxwell Dean Assistant Professor of the Politics of AI, Maxwell Dean Assistant Profes Zhang

Part of the Oxford Handbooks series

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Description

As the capabilities of Artificial Intelligence (AI) have increased over recent years, so have the challenges of how to govern its usage.

Consequently, prominent stakeholders across academia, government, industry, and civil society have called for states to devise and deploy principles, innovative policies, and best practices to regulate and oversee these increasingly powerful AI tools.

Developing a robust AI governance system requires extensive collective efforts throughout the world.

It also raises old questions of politics, democracy, and administration, but with the new challenges posed by AI's growing influence on markets, governing structures, international relations, healthcare, science, and political activism.

The Oxford Handbook of AI Governance delineates the scope of these issues and addresses the key questions of AI governance.

Across forty-nine chapters, organized in nine major sections, the Handbook covers the theoretical and ethical foundations of AI governance, different frameworks for developing a governance structure for AI, practical perspectives on AI governance in different policy domains, economic analyses of AI governance, and concrete lessons about the impact of AI governance domestically and internationally.

Chapter authors come from a wide set of disciplines, areas of study, and cultural backgrounds, providing a global perspective on AI governance.