1st Edition
AI and Tort Liability Rethinking, Recalibrating, and Reallocating Risk and Responsibility
Preface
Acknowledgements
CHAPTER 1: INTRODUCTION TO AI AND TORT LIABILITY
CHAPTER 2: ARTIFICIAL INTELLIGENCE – PRELIMINARY NOTES
A. The 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
Biography
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.
