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.
Edited by:
Justin B. Bullock (Associate Professor Affiliate of Governance Associate Professor Affiliate of Governance University of Washington),
Yu-Che Chen,
PhD (Professor of Public Administration,
Professor of Public Administration,
University of Nebraska at Omaha),
Johannes Himmelreich (Assistant Professor of Public Administration and International Affairs,
Assistant Professor of Public Administration and International Affairs,
Syracuse University),
Valerie M. Hudson (University Distinguished Professor,
University Distinguished Professor,
Texas A&M University),
Anton Korinek (Professor of Economics,
Professor of Economics,
University of Virginia)
Imprint: Oxford University Press Inc
Country of Publication: United States
Dimensions:
Height: 173mm,
Width: 246mm,
Spine: 61mm
Weight: 1.928kg
ISBN: 9780197579329
ISBN 10: 0197579329
Series: Oxford Handbooks
Pages: 1096
Publication Date: 19 April 2024
Audience:
College/higher education
,
Further / Higher Education
Format: Hardback
Publisher's Status: Active
List of Contributors Introduction to The Oxford Handbook of AI Governance Justin B. Bullock, Yu-Che Chen, Johannes Himmelreich, Valerie M. Hudson, Anton Korinek, Matthew M. Young, and Baobao Zhang I. Section 1: Introduction and Overview Justin B. Bullock 1. AI Governance: Overview and Theoretical Lenses Allan Dafoe 2. AI Challenges for Society and Ethics Jess Whittlestone and Sam Clarke 3. Aligned with Whom? Direct and Social Goals for AI Systems Anton Korinek and Avital Balwit 4. The Impact of Artificial Intelligence: A Historical Perspective Ben Garfinkel 5. AI Governance Multi-Stakeholder Convening K. Gretchen Greene II. Section 2: Value Foundations of AI Governance Johannes Himmelreich 6. Fairness Kate Vredenburgh 7. Governing Privacy Carissa Veliz 8. The Concept of Accountability in AI Ethics and Governance Theodore M. Lechterman 9. Governance via Explainability David Danks 10. Power and AI: Nature and Justification Seth Lazar 11. AI and Structural Injustice: Foundations for Equity, Values, and Responsibility Johannes Himmelreich and Désirée Lim 12. Beyond Justice: Artificial Intelligence and the Value of Community Juri Viehoff III. Section 3: Developing an AI Governance Regulatory Ecosystem Valerie M. Hudson 13. Transnational Digital Governance and Its Impact on Artificial Intelligence Mark Dempsey, Keegan McBride, Meeri Haataja, and Joanna J. Bryson 14. Standing Up a Regulatory Ecosystem for Governing AI Decision Making: Principles and Components Valerie M. Hudson 15. Legal Elements of an AI Regulatory Permit Program Brian Wm. Higgins 16. AI Loyalty by Design: A Framework for Governance of AI Anthony Aguirre, Peter B. Reiner, Harry Surden, and Gaia Dempsey 17. Information Markets and AI Development Jack Clark 18. Aligning AI Regulation to Sociotechnical Change Matthijs M. Maas IV. Section 4: Frameworks and Approaches for AI Governance Yu-Che Chen and Matthew M. Young 19. The Challenge of AI Governance for Public Organizations Justin B. Bullock, Hsini Huang, Kyoung-Cheol Kim, and Matthew M. Young 20. An Ecosystem Framework of AI Governance Bernd W. Wirtz, Paul F. Langer, and Jan C. Weyerer 21. Governing AI Systems for Public Values: Design Principles and a Process Framework Yu-Che Chen and Michael Ahn 22. System Safety and Artificial Intelligence Roel I. J. Dobbe V. Section 5: Assessment and Implementation of AI Governance Matthew M. Young and Yu-Che Chen 23. Assessing AI-Automated Administration Cary Coglianese and Alicia Lai 24. Transparency's Role in AI Governance Alex Ingrams and Bram Klievink 25. The Anatomy of AI Audits: Form, Process, and Consequences Inioluwa Deborah Raji 26. Mitigating Algorithmic Biases through Incentive-Based Rating Systems Nicol Turner Lee 27. Role and Governance of Artificial Intelligence in Public Policy Cycle David Valle-Cruz and Rodrigo Sandoval-Almazán VI. Section 6: AI Governance from the Ground Up (Views from the Public, Impacted Communities, and Activists within the Tech Community) Baobao Zhang 28. Public Opinion Toward Artificial Intelligence Baobao Zhang 29. Adding Complexity to Advance AI Organizational Governance Models Jasmine McNealy 30. The Role of Workers in AI Ethics and Governance Nataliya Nedzhvetskaya and JS Tan 31. Structured Access: An Emerging Paradigm for Safe AI Deployment Toby Shevlane 32. AI, Complexity, and Regulation Laurin B. Weissinger VII. Section 7: Economic Dimensions of AI Governance Anton Korinek 33. Technological Unemployment Daniel Susskind 34. Harms of AI Daron Acemoglu 35. AI and the Economic and Informational Foundations of Democracy Carles Boix 36. Governing AI to Advance Shared Prosperity Katya Klinova 37. Preparing for the (Non-Existent?) Future of Work Anton Korinek and Megan Juelfs VIII. Section 8: Domestic Policy Applications of AI Johannes Himmelreich 38. Artificial Intelligence for Adjudication: The Social Security Administration and AI Governance Kurt Glaze, Daniel E. Ho, Gerald K. Ray, and Christine Tsang 39. Watching the Watchtower: A Surveillance AI Analysis and Framework Stephen Caines 40. Smart City Technologies: A Political Economy Introduction to Their Governance Challenges Beatriz Botero Arcila 41. Artificial Intelligence in Health Care Nakul Aggarwal, Michael E. Matheny, Carmel Shachar, Samantha Wang, and Sonoo Thadaney-Israni 42. AI, Fintech, and the Evolving Regulation of Consumer Financial Privacy Nikita Aggarwal IX. Section 9: International Politics and AI Governance Justin B. Bullock 43. Dueling Perspectives in AI and U.S.-China Relations: Technonationalism vs. Technoglobalism Jeffrey Ding 44. Mapping State Participation in Military AI Governance Discussions Elsa B. Kania and Justin Key Canfil 45. AI, the International Balance of Power, and National Security Strategy Michael C. Horowitz, Shira Pindyck, and Casey Mahoney 46. The Ghost of AI Governance Past, Present, and Future: AI Governance in the European Union Charlotte Stix 47. AI and International Politics Sarah E. Kreps and Amelia C. Arsenault 48. The Critical Roles of Global South Stakeholders in AI Governance Marie-Therese Png 49. NATO's Role in Responsible AI Governance in Military Affairs Zoe Stanley-Lockman and Lena Trabucco Index
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.
