Judgement Proof Robots And Artificial Intelligence
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Judgement-Proof Robots and Artificial Intelligence
This book addresses the role of public policy in regulating the autonomous artificial intelligence and related civil liability for damage caused by the robots (and any form of artificial intelligence). It is a very timely book, focusing on the consequences of judgment proofness of autonomous decision-making on tort law, risk and safety regulation, and the incentives stemming from these. This book is extremely important as regulatory endeavours concerning AI are in their infancy at most, whereas the industry’s development is continuing in a strong way. It is an important scientific contribution that will bring scientific objectivity to a, to date, very one-sided academic treatment of legal scholarship on AI.
Artificial Intelligence and Tortious Liability
This book examines whether current liability systems can handle cases involving artificial intelligence (AI). It questions whether general liability rules, designed to be technology-agnostic, are adequate for AI-related accidents. While focusing on Bosnia and Herzegovina, it addresses issues relevant across Europe, offering answers based on common principles and tort law rules. The book begins with an introduction to AI technology and associated civil law challenges regarding e.g. autonomy, data importance, and non-transparency. It then discusses the broader context of civil law issues, the role of liability systems, rule-making levels and timing, and ancillary mechanisms like insurance and safety standards. The bases of liability in Bosnia and Herzegovina are examined, including objective and subjective liability, product liability, and vicarious liability. The allocation of liability is also addressed, focusing on AI’s autonomy and loss of user control, and evaluating traditional liability allocation principles. Finally, the book analyzes why those harmed by AI might be worse off than those affected by conventional adverse events.
Three Liability Regimes for Artificial Intelligence
Author: Anna Beckers
language: en
Publisher: Bloomsbury Publishing
Release Date: 2021-12-02
This book proposes three liability regimes to combat the wide responsibility gaps caused by AI systems – vicarious liability for autonomous software agents (actants); enterprise liability for inseparable human-AI interactions (hybrids); and collective fund liability for interconnected AI systems (crowds). Based on information technology studies, the book first develops a threefold typology that distinguishes individual, hybrid and collective machine behaviour. A subsequent social science analysis specifies the socio-digital institutions related to this threefold typology. Then it determines the social risks that emerge when algorithms operate within these institutions. Actants raise the risk of digital autonomy, hybrids the risk of double contingency in human-algorithm encounters, crowds the risk of opaque interconnections. The book demonstrates that the law needs to respond to these specific risks, by recognising personified algorithms as vicarious agents, human-machine associations as collective enterprises, and interconnected systems as risk pools – and by developing corresponding liability rules. The book relies on a unique combination of information technology studies, sociological institution and risk analysis, and comparative law. This approach uncovers recursive relations between types of machine behaviour, emergent socio-digital institutions, their concomitant risks, legal conditions of liability rules, and ascription of legal status to the algorithms involved.