Judgement-Proof Robots and Artificial Intelligence

A Comparative Law and Economics Approach

Inbunden, Engelska, 2020

849 kr

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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.

Produktinformation

Utgivningsdatum2020-09-04
Mått148 x 210 x 15 mm
Vikt343 g
FormatInbunden
SpråkEngelska
Antal sidor153
FörlagSpringer Nature Switzerland AG
ISBN9783030536435

Tillhör följande kategorier

Rättsvetenskap inom Juridik
Nationalekonomi inom Ekonomi och Ledarskap
Artificiell intelligens inom Data och IT
Ekonomisk politik inom Ekonomi och Ledarskap

Mitja Kovač is an Associate Professor at the University of Ljubljana, School of Economics and Business, Ljubljana, Slovenia. He is also a visiting lecturer at the Erasmus University Rotterdam, The Netherlands, at University of Ghent, Belgium, at the ISM University of Management and Economics in Vilnius, Lithuania, and at University of Vienna, Austria. He publishes in the fields of comparative contract law and economics, new institutional economics, consumer protection, contract theory and competition law and economics.

Chapter 1. Introduction.- Chapter 2. Economic analysis of law.- Chapter 3.The context of regulation: The market and private law.- Chapter 4. An introduction to autonomous artificial intelligent systems.- Chapter 5. Unique features of autonomous AI.- Chapter 6. A comparative law and economics of torts and master-servant relationships.- Chapter 7. Fundamental legal concepts and regulatory key questions.- Chapter 8. Optimal regulatory intervention.- Chapter 9. Towards an optimal regulator.- Chapter 10. Conclusions.