The Oxford Handbook of AI Governance

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.


About the Author
Justin B. Bullock is Associate Professor Affiliate of Governance at the Evans School of Public Policy and Governance at the University of Washington.

Yu-Che Chen is Isaacson Professor and Professor in the School of Public Administration at the University of Nebraska at Omaha.

Johannes Himmelreich is Assistant Professor of Public Administration and International Affairs at the Maxwell School of Citizenship and Public Affairs and Faculty Affiliate in Philosophy at Syracuse University.

Valerie M. Hudson is University Distinguished Professor and holds the George H. W. Bush chair in the Department of International Affairs of the Bush School of Government and Public Service at Texas A & M University.

Anton Korinek is Professor of Economics at the University of Virginia, David M. Rubenstein Fellow at Brookings, and Economics of AI Lead at the Centre for the Governance of AI.

Matthew M. Young is Assistant Professor of Public Administration at Leiden University.

Baobao Zhang is Maxwell Dean Assistant Professor of the Politics of AI at the Maxwell School of Citizenship and Public Affairs at Syracuse University and Research Affiliate at the Centre for the Governance of AI.