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

Edited by: Yanto Chandra, Michael Tsimplis, Naikang Feng

ISBN13: 9781035346066
To be Published: September 2026
Publisher: Edward Elgar Publishing Limited
Country of Publication: UK
Format: Hardback
Price: £210.00





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.

Subjects:
IT, Internet and Artificial Intelligence Law
Contents:
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