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Three liability regimes for artificial intelligence : algorithmic actants, hybrids, crowds / Anna Beckers and Gunther Teubner.

By: Contributor(s): Publisher: Oxford ; New York : Hart, Bloomsbury 2021Description: ix, 192 pages ; 24 cmContent type:
  • text
ISBN:
  • 9781509949335
Subject(s): Additional physical formats: Online version:: Three liability regimes for artificial intelligenceDDC classification:
  • 343.0999 23/eng/20211028
Contents:
Digitalisation : the responsibility gap -- Autonomy and personification -- Actants : autonomy risk -- Hybrids : association risk -- Multi-agent crowds : interconnectivity risk -- Three liability regimes : interrelations.
Summary: "This book proposes three liability regimes to combat the wide responsibility gap 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 sciences analysis specifies the socio-technical configurations of this threefold typology and theorises their social risks when being used in social practices: actants raise the risk of digital autonomy, hybrids the risk of double contingency, crowds the risk of opaque interconnections. The book demonstrates that it is these specific risks to which the law needs to respond, 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 configuration and risk analysis, and comparative law. This unique approach uncovers recursive relations between types of machine behaviour, emergent socio-technical configurations, their concomitant risks, the legal conditions of liability rules, and the ascription of legal status to the algorithms involved"-- Provided by publisher.
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Holdings
Item type Current library Shelving location Call number Materials specified Status Notes Barcode
BOOKs National Law School REFERENCE SECTION 343.0999 BEC (Browse shelf(Opens below)) HB Available Recommended by Dr. Arul George Scaria 39359

Includes bibliographical references (pages 167-181) and index.

Digitalisation : the responsibility gap -- Autonomy and personification -- Actants : autonomy risk -- Hybrids : association risk -- Multi-agent crowds : interconnectivity risk -- Three liability regimes : interrelations.

"This book proposes three liability regimes to combat the wide responsibility gap 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 sciences analysis specifies the socio-technical configurations of this threefold typology and theorises their social risks when being used in social practices: actants raise the risk of digital autonomy, hybrids the risk of double contingency, crowds the risk of opaque interconnections. The book demonstrates that it is these specific risks to which the law needs to respond, 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 configuration and risk analysis, and comparative law. This unique approach uncovers recursive relations between types of machine behaviour, emergent socio-technical configurations, their concomitant risks, the legal conditions of liability rules, and the ascription of legal status to the algorithms involved"-- Provided by publisher.

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