This invaluable Companion explores the multifaceted and evolving area of artificial intelligence (AI) governance. Leading scholars blend theory and practice to present interdisciplinary perspectives on the interplay between AI technologies and governance processes.
Chapters examine the practical integration of AI in government services, decision-making, and policy cycles, addressing governance through AI and governance of AI. Uniquely pairing public policy and legal aspects, the book explores the risks, ethical challenges and societal impacts of AI, while highlighting regulatory tools, legal frameworks and governance strategies to address these issues. Balancing academic rigor with actionable insights, chapters provide a holistic view of AI governance, integrating reasoned arguments, systematic analyses, and empirical observations.
The Elgar Companion to Artificial Intelligence Governance is an essential resource for students and academics in law, business, AI, corporate governance and disruptive technologies. It is also a useful reference for practitioners and policymakers seeking to understand and shape the future of AI governance.
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Edited by Yanto Chandra, Professor, Department of Public and International Affairs, Michael Tsimplis, Professor, School of Law and Naikang Feng, Postdoctoral Researcher, Centre for Public Affairs and Law, City University of Hong Kong, Hong Kong (SAR), China
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