AI and Tort Liability

Rethinking, Recalibrating, and Reallocating Risk and Responsibility
1. Auflage 2026
ISBN: 978-1-041-24665-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 114 Seiten, Format (B × H): 138 mm x 216 mm

Reihe: Routledge Research in the Law of Emerging Technologies

This book provides a novel framework for adapting tort law to the challenges of artificial intelligence in all of its forms -- from machine learning to generative models to autonomous and agentic systems.

Centred on a liability matrix, this book maps AI systems into four zones according to their private and public risks and benefits and it prescribes tailored liability mechanisms for each. These may range from flexible, fault-based models with safe harbours for low-risk, high-benefit technologies, to strict liability, rebuttable presumptions of causation, and even moratoriums for systems that pose grave public dangers without delivering corresponding public value. Combining rigorous doctrinal analysis with practical policy tools, it addresses complex issues such as fault attribution, causation, compensable harm, evidentiary burdens and distributed responsibility.

Clear, concise and globally relevant, this book provides an adaptable approach that courts, policy makers and industry leaders can apply to real-world AI governance. It will appeal to legal scholars, postgraduate students, regulators, judges and AI governance specialists seeking to understand -- and shape -- how tort law can both protect society and enable responsible innovation in the age of AI.

Zielgruppe

Academic

Autoren/Hrsg.

Diaz-Granados, Juan

Fachgebiete

• Rechtswissenschaften Bürgerliches Recht Schuldrecht Haftpflichtrecht, Deliktsrecht, Produkthaftungsrecht
• Rechtswissenschaften Öffentliches Recht Umweltrecht Umweltrecht allg., Technikrecht, Immissionsschutzrecht
• Rechtswissenschaften Öffentliches Recht Verwaltungsrecht Schul-, Hochschul- und Prüfungsrecht, Wissenschaftsrecht, Forschung

Inhaltsverzeichnis

Preface

Acknowledgements

CHAPTER 1: INTRODUCTION TO AI TORT LIABILITY

CHAPTER 2: ARTIFICIAL INTELLIGENCE – PRELIMINARY NOTES

A. Historical Development of AI

B. Conceptual Framework

C. Taxonomy of AI

CHAPTER 3: CHALLENGING FEATURES OF AI SYSTEMS

A. Complexity of AI Architecture

B. Duality of AI Systems

C. AI Plutocracy

D. AI International and Supranational Impact

CHAPTER 4: DOCTRINAL ISSUES OF TORT LAW IN AI

A. Fault and Foreseeability

B. Complex Causation

C. Damage and Compensable Harm

D. Emerging AI-Specific Risks

E. Evidentiary Issues

F. Distributed Liability

CHAPTER 5: THEORETICAL FRAMEWORK FOR AI TORT LIABILITY

A. Tort Liability and Theory

B. Theoretical Dualism for AI Tort Liability

CHAPTER 6: DYNAMIC FRAMEWORK OF AI TORT LIABILITY

A. Green Zone

B. Yellow Zone

C. Orange Zone

D. Red Zone

CHAPTER 7: CONCLUSION

Über Autor(innen)

Juan Diaz-Granados is a Senior Lecturer at the Australian Catholic University. His research examines the legal implications of emerging technologies, and his publications include a book on the Sharing Economy and numerous articles in leading national and international law journals.