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The Elgar Companion to Artificial Intelligence Governance: Exploring the Public Policy and Legal Landscape

Coming Soon The Elgar Companion to Artificial Intelligence Governance: Exploring the Public Policy and Legal Landscape

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The Elgar Companion to Artificial Intelligence Governance: Exploring the Public Policy and Legal Landscape

Name: The Elgar Companion to Artificial Intelligence Governance: Exploring the Public Policy and Legal Landscape
Brand: Edward Elgar Publishing
SKU: 9781035346066
Price: 2648.10 HKD
Availability: PreOrder
Author: Yanto Chandra; Michael Tsimplis; Naikang Feng
ISBN: 9781035346066

Edited by Yanto Chandra · Michael Tsimplis · Naikang Feng

Coming Soon Edward Elgar Publishing Available September 2026

Specifications

ISBN-13: 9781035346066
Publisher: Edward Elgar Publishing
Publication: September 2026
Format: Hardback
Jurisdiction: U.K. ? Countri(es) for reference only

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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.

Introduction to The Elgar Companion to Artificial Intelligence Governance 1; Yanto Chandra, Naikang Feng and Michael Tsimplis; PART I THE PUBLIC POLICY LANDSCAPE OF AI GOVERNANCE; 1.
Debates on AI governance: riddles, paradoxes, and the road ahead 9: Yifan Wang, Tian Gan and Liang Ma; 2.
Socially responsible artificial intelligence (AI) and the roles of the state: evidence from G20 national strategies for AI 28: Ferry Silitonga and Kuskridho Ambardi; 3.
Policy instrument portfolios in AI development: a text analysis of Chinese policies 47: Yiran Li; 4.
Artificial intelligence and public value co-creation: evidence from smart elderly care services in China 67: Lingyi Zhou; 5.
Transforming public sector governance through large language models: global experiences and future pathways 82: Mingxi Zhang, Liang Ma and Xun Wu; 6.
Stakeholder governance: the key to ethical, inclusive, and responsible AI governance 102: Greici Sarturi; 7.
Information asymmetry, incentive misalignment, and accountability: a principal–agent perspective on AI in governments 119: Naikang Feng and Yanto Chandra; 8.
Trilateral powers, divergent paths: can middle path win in AI governance? 129: Chuanxiao Peng and Wenxuan Yu; 9.
Out of control and co-existence: the revolution of human civilization governance paradigms in the era of AI self-evolution 151: Michael Yusheng Wu; 10.
Police officers operating under the influence of AI: assessing how predictive policing tools impact officer behaviour and can lead to risks 173: Spencer Poodiack Parsons; 11.
Transformative influences of AI on public policy design and implementation: a socio-legal analysis of institutional innovation 188: Zhiyi Liu; PART II THE LEGAL LANDSCAPE OF AI GOVERNANCE; 12.
Regulating AI: definitions, levels of control, and smart mix 212: Michael Tsimplis and Gary Lynch-Wood; 13.
What explainability means in law: from technical concepts to legal standards 223: Hsuan-Lei Shao and Sieh-Chuen Huang; 14.
Legal reasoning beyond binaries: AI and the fuzziness of principles 239: Fabien Gélinas and Chen Yu; 15.
Corporate law in the algorithmic era 254: Michael R. Siebecker; 16.
Corporate governance and the use of AI 270: Souichirou Kozuka; 17.
AI and corporate governance: liability and accountability in corporate decision making 286: Danny Kan and Michael Mok; 18.
AI and the softening of corporate boundaries 298: Martin Petrin; 19.
When is a definition efficient? An alternative approach to the AI discourse on ‘ships’ under UNCLOS 309: Hannah Stones; 20.
AI under privacy and data protection laws 324: Xingsi Di and Deru He; 21.
Artificial intelligence under privacy and data protection laws 338: Ce Ma