The Oxford Handbook of AI Governance

Inbunden, Engelska, 2024

AvJustin B. Bullock,Yu-Che Chen,Johannes Himmelreich,Valerie M. Hudson,Anton Korinek,Matthew M. Young,Baobao Zhang,University of Washington) Bullock, Justin B. (Associate Professor Affiliate of Governance, Associate Professor Affiliate of Governance,University of Nebraska at Omaha) Chen, Yu-Che, PhD (Professor of Public Administration, Professor of Public Administration,Syracuse University) Himmelreich, Johannes (Assistant Professor of Public Administration and International Affairs, Assistant Professor of Public Administration and International Affairs,Texas A&M University) Hudson, Valerie M. (University Distinguished Professor, University Distinguished Professor,University of Virginia) Korinek, Anton (Professor of Economics, Professor of Economics,Leiden University) Young, Matthew M. (Assistant Professor of Public Administration, Assistant Professor of Public Administration,Syracuse University) Zhang, Baobao (Maxwell Dean Assistant Professor of the Politics of AI, Maxwell Dean Assistant Professor of the Politics of AI,Justin B Bullock,Valerie M Hudson,Matthew M Young

2 549 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2024-10-17
Mått173 x 246 x 61 mm
Vikt1 928 g
FormatInbunden
SpråkEngelska
SerieOxford Handbooks
Antal sidor1 092
FörlagOUP USA
ISBN9780197579329

Tillhör följande kategorier

Offentlig förvaltning inom Samhalle och politik
Internationell ekonomi inom Ekonomi och ledarskap
Lag och samhälle inom Juridik
Artificiell intelligens inom Data och it
Internationella relationer inom Samhalle och politik

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 LeidenUniversity. 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.

List of ContributorsIntroduction to The Oxford Handbook of AI GovernanceJustin B. Bullock, Yu-Che Chen, Johannes Himmelreich, Valerie M. Hudson, Anton Korinek, Matthew M. Young, and Baobao ZhangI. Section 1: Introduction and OverviewJustin B. Bullock1. AI Governance: Overview and Theoretical Lenses Allan Dafoe2. AI Challenges for Society and Ethics Jess Whittlestone and Sam Clarke3. Aligned with Whom? Direct and Social Goals for AI SystemsAnton Korinek and Avital Balwit4. The Impact of Artificial Intelligence: A Historical PerspectiveBen Garfinkel 5. AI Governance Multi-Stakeholder ConveningK. Gretchen GreeneII. Section 2: Value Foundations of AI GovernanceJohannes Himmelreich6. FairnessKate Vredenburgh7. Governing PrivacyCarissa Veliz8. The Concept of Accountability in AI Ethics and GovernanceTheodore M. Lechterman9. Governance via Explainability David Danks10. Power and AI: Nature and JustificationSeth Lazar11. AI and Structural Injustice: Foundations for Equity, Values, and ResponsibilityJohannes Himmelreich and Désirée Lim12. Beyond Justice: Artificial Intelligence and the Value of CommunityJuri ViehoffIII. Section 3: Developing an AI Governance Regulatory EcosystemValerie M. Hudson13. Transnational Digital Governance and Its Impact on Artificial IntelligenceMark Dempsey, Keegan McBride, Meeri Haataja, and Joanna J. Bryson14. Standing Up a Regulatory Ecosystem for Governing AI Decision Making: Principles and ComponentsValerie M. Hudson15. Legal Elements of an AI Regulatory Permit ProgramBrian Wm. Higgins 16. AI Loyalty by Design: A Framework for Governance of AIAnthony Aguirre, Peter B. Reiner, Harry Surden, and Gaia Dempsey17. Information Markets and AI DevelopmentJack Clark18. Aligning AI Regulation to Sociotechnical ChangeMatthijs M. MaasIV. Section 4: Frameworks and Approaches for AI GovernanceYu-Che Chen and Matthew M. Young 19. The Challenge of AI Governance for Public OrganizationsJustin B. Bullock, Hsini Huang, Kyoung-Cheol Kim, and Matthew M. Young20. An Ecosystem Framework of AI GovernanceBernd W. Wirtz, Paul F. Langer, and Jan C. Weyerer21. Governing AI Systems for Public Values: Design Principles and a Process FrameworkYu-Che Chen and Michael Ahn22. System Safety and Artificial IntelligenceRoel I. J. Dobbe V. Section 5: Assessment and Implementation of AI GovernanceMatthew M. Young and Yu-Che Chen23. Assessing AI-Automated Administration Cary Coglianese and Alicia Lai 24. Transparency's Role in AI GovernanceAlex Ingrams and Bram Klievink 25. The Anatomy of AI Audits: Form, Process, and ConsequencesInioluwa Deborah Raji26. Mitigating Algorithmic Biases through Incentive-Based Rating SystemsNicol Turner Lee 27. Role and Governance of Artificial Intelligence in Public Policy CycleDavid Valle-Cruz and Rodrigo Sandoval-AlmazánVI. Section 6: AI Governance from the Ground Up (Views from the Public, Impacted Communities, and Activists within the Tech Community)Baobao Zhang28. Public Opinion Toward Artificial IntelligenceBaobao Zhang29. Adding Complexity to Advance AI Organizational Governance ModelsJasmine McNealy 30. The Role of Workers in AI Ethics and GovernanceNataliya Nedzhvetskaya and JS Tan 31. Structured Access: An Emerging Paradigm for Safe AI Deployment Toby Shevlane 32. AI, Complexity, and RegulationLaurin B. WeissingerVII. Section 7: Economic Dimensions of AI GovernanceAnton Korinek33. Technological Unemployment Daniel Susskind 34. Harms of AIDaron Acemoglu35. AI and the Economic and Informational Foundations of DemocracyCarles Boix 36. Governing AI to Advance Shared ProsperityKatya Klinova 37. Preparing for the (Non-Existent?) Future of Work Anton Korinek and Megan Juelfs VIII. Section 8: Domestic Policy Applications of AIJohannes Himmelreich38. Artificial Intelligence for Adjudication: The Social Security Administration and AI GovernanceKurt Glaze, Daniel E. Ho, Gerald K. Ray, and Christine Tsang39. Watching the Watchtower: A Surveillance AI Analysis and Framework Stephen Caines 40. Smart City Technologies: A Political Economy Introduction to Their Governance ChallengesBeatriz Botero Arcila41. Artificial Intelligence in Health CareNakul Aggarwal, Michael E. Matheny, Carmel Shachar, Samantha Wang, and Sonoo Thadaney-Israni42. AI, Fintech, and the Evolving Regulation of Consumer Financial Privacy Nikita AggarwalIX. Section 9: International Politics and AI GovernanceJustin B. Bullock43. Dueling Perspectives in AI and U.S.-China Relations: Technonationalism vs. TechnoglobalismJeffrey Ding 44. Mapping State Participation in Military AI Governance DiscussionsElsa B. Kania and Justin Key Canfil45. AI, the International Balance of Power, and National Security StrategyMichael C. Horowitz, Shira Pindyck, and Casey Mahoney46. The Ghost of AI Governance Past, Present, and Future: AI Governance in the European UnionCharlotte Stix47. AI and International PoliticsSarah E. Kreps and Amelia C. Arsenault 48. The Critical Roles of Global South Stakeholders in AI GovernanceMarie-Therese Png49. NATO's Role in Responsible AI Governance in Military AffairsZoe Stanley-Lockman and Lena TrabuccoIndex

This handbook is a fair starting point for understanding how different disciplines view the challenges of governing AI. As such it will be a good starting point for undergraduates or those new to the field in academia. Many of the chapters are well written, clear and serve as good signposts for further research. They also introduce key arguments from different disciplinary perspectives, and suggest provocative responses to stimulate the reader's thinking.