This volume is for lawmakers, lawyers, business leaders, and curious minds interested in the legal and regulatory implications of generative AI as the fast-evolving technology is transforming our world. It offers clear and nuanced insights into the challenges of AI for the law, helping readers navigate this complex landscape.
This handbook offers an important exploration of generative AI and its legal and regulatory implications from interdisciplinary perspectives. The volume is divided into four parts. Part I provides the necessary context and background to understanding the topic, including its technical underpinnings and societal impacts. Part II probes the emerging regulatory and policy frameworks related to generative AI and AI more broadly across different jurisdictions. Part III analyses generative AI's impact on specific areas of law, from non-discrimination and data protection to intellectual property, corporate governance, criminal law and more. Part IV examines the various practical applications of generative AI in the legal sector and public administration. Overall, this volume provides a comprehensive resource for those seeking to understand and navigate the substantial and growing implications of generative AI for the law.
Daugiau informacijos
Global experts offer an interdisciplinary analysis of legal and regulatory challenges posed by generative AI.
Part I. Understanding Generative AI from Multidisciplinary Perspectives:
1. Generative AI: an introduction Tom Melham;
2. Unleashing creative
potential: nurturing trustworthy generative AI Zijie Huang;
3. Normative and
ethical dimensions of generative AI: from epistemological considerations to
societal implications Ludovica Paseri and Massimo Durante;
4. Why generative
AI is not Cyrano de Bergerac: a computational manipulation perspective on
generative AI Stefano Faraoni;
5. Unnatural selection? A Darwinian reading of
the economic consequences of generative AI on the art market Jerome De
Cooman; Part II. Evolving Regulatory and Governance Frameworks:
6. LLMs meet
the AIA: who's the sorcerer's apprentice? Ugo Pagallo;
7. Mapping generative
AI liability cases in the EU legal framework Teresa Rodriguez de las Heras
Ballell;
8. Challenges for foundation model liability and regulatory regimes:
an analysis of US law Peter Henderson;
9. Navigating China's regulatory
approach to generative AI Lu Zhang and Mimi Zou;
10. Singapore's evolving AI
governance framework Jason Grant Allen and Jane Loo;
11. International
cooperation on generative AI governance: towards a common framework to
advance human rights, democracy and rule of law Hiroki Habuka, David U. Socol
de la Osa;
12. Generative AI and international standardization Sebastian
Hallensleben;
13. Private ordering and generative AI: what can we learn from
foundation model contracts and licenses? Lilian Edwards, Igor Szpotakowski,
Gabriele Cifrodelli, Joséphine Sangaré, and James Stewart; Part III.
Generative AI: Specific Legal Questions:
14. Generative AI and
non-discrimination law in the EU Riccardo de Caria;
15. Generative AI and
data protection in the EU Hannah Ruschemeier;
16. Expanding the privacy
paradigm: Generative AI and the evolution of US legal norms Elana Zaide;
17.
Generative AI and IP under US law Bruce Boyden;
18. Copyright and generative
AI in Japan and China Christoph Rademacher and Wanru Cai;
19. Redefining
rivalry: generative AI and the evolving landscape of competition law Sylvia
Papadopoulos;
20. Generative AI and EU consumer law Cristina Poncibņ;
21.
Generative AI systems and corporate governance Patrick O'Malley;
22.
Generative AI and criminal guilt: when no one meant to harm Beatrice
Panattoni; Part IV. The Use of Generative AI in Legal and Related Sectors:
23. Automating legal tasks: LLMs, legal documents and The AI Act Rta
Liepia, Francesca Lagioia, Marco Lippi, Przemysaw Paka, Hans-Wolfgang
Micklitz, Giovanni Sartor;
24. LawGPT: Generative AI and legal services
regulation Martin Ebers;
25. Generative AI and Article 6 of the European
Convention on Human Rights: the right to a human judge? Mimi Zou and Ellen
Lefley;
26. Generative AI in public administration Sophie Weerts.
Mimi Zou leads the School of Private and Commercial Law at the University of New South Wales (UNSW), Australia, and a Visiting Fellow at Oxford. She has advised the UK government, World Economic Forum and G7 on responsible AI and data governance. Zou founded Oxford's first deep tech law innovation lab and co-edited Contracting and Contract Law in the Age of AI (2022) with Martin Ebers and Cristina Poncibņ. CristinaPoncibņ is Full Professor of Comparative Private Law in the Law Department at the University of Turin and an Affiliate of Collegio Carlo Alberto. Her work spans over 140 publications, focusing on the intersection of science, technology, and law. She regularly contributes to international conferences and, in 2022, co-edited Contracting and Contract Law in the Age of Artificial Intelligence (Hart) with Martin Ebers and Mimi Zou. Martin Ebers is President of the Robotics & AI Law Society. He teaches IT Law at the University of Tartu. A prolific author with seventeen books and over 120 articles to his name, he has also presented at more than 100 international conferences. Ebers is a leading voice in shaping European legal frameworks for emerging technologies and co-edits the Commentary on the EU's AI Act with Mimi Zou. Ryan Calo co-directs the Tech Policy Lab at the University of Washington School of Law and co-founded the Center for an Informed Public. His research on law and emerging technology is widely published and cited. A frequent speaker at high-profile events, he has testified before the US Senate on technology policy issues.
