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The Oxford Handbook of AI Governance

Gebonden Engels 2024 1e druk 9780197579329
€ 219,56
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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.

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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
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