Tort Liability and Autonomous Systems Accidents - Morgan, Phillip; (szerk.) - Prospero Internetes Könyváruház

Tort Liability and Autonomous Systems Accidents: Common and Civil Law Perspectives
 
A termék adatai:

ISBN13:9781802203837
ISBN10:1802203834
Kötéstípus:Keménykötés
Terjedelem:276 oldal
Méret:234x156 mm
Súly:576 g
Nyelv:angol
1027
Témakör:

Tort Liability and Autonomous Systems Accidents

Common and Civil Law Perspectives
 
Kiadó: Edward Elgar Publishing
Megjelenés dátuma:
 
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Kiadói listaár:
GBP 105.00
Becsült forint ár:
55 125 Ft (52 500 Ft + 5% áfa)
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44 100 (42 000 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 11 025 Ft)
A kedvezmény érvényes eddig: 2024. december 31.
A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
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Hosszú leírás:
Autonomous systems driven by artificial intelligence (AI) technologies have significant potential for increased productivity and improved safety in many sectors, but it is inevitable that some accidents will occur. The law needs an adequate way to respond to these scenarios and compensate those wrongfully injured. This comprehensive book examines the unique difficulties that autonomous systems create for existing accident compensation systems founded on tort, and proposes solutions.



Its chapters question the adequacy of accident compensation systems designed around the human wrongdoer, or a human whose conduct can be attributed to a legal person, when the 'wrongdoer' is an autonomous system. With a multi-jurisdictional approach, including both common and civil law perspectives, this book examines the many challenges that autonomous systems present in tort law and sets forth that tort lawyers will need to significantly adjust their thinking to face these challenges. Focus is given to proposals and developments at an EU level and finding solutions to the problems brought about by autonomous systems.



This insightful text will be of great value to both students, researchers and practitioners in tort law, accident compensation and AI. High tech companies, think tanks, consultancies and organisations interested in autonomous systems and accidents will also widely benefit from its expertise.



Autonomous systems driven by artificial intelligence (AI) technologies have significant potential for increased productivity and improved safety in many sectors, but it is inevitable that some accidents will occur. The law needs an adequate way to respond to these scenarios and compensate those wrongfully injured. This comprehensive book examines the unique difficulties that autonomous systems create for existing accident compensation systems founded on tort, and proposes solutions.

?Autonomous systems are increasingly challenging tenets of tort law and its liability schemes. The authors in this book discuss several solutions to tackle the shortcomings of today's law. The volume provides an impressive guide for both scholars and legislators.?

Tartalomjegyzék:
Contents:

1 Tort Liability and Autonomous Systems Accidents ?
Challenges and Future Developments 1
Phillip Morgan
2 Liability for Damage Caused by Artificial Intelligence ?
Some Food for Thought and Current Proposals 27
Jan De Bruyne and Orian Dheu
3 AI Systems and the Issue of Liability in the European and
National Regulatory Strategies 63
Erica Palmerini
4 AI-Generated Torts 97
Ryan Abbott
5 Civil Liability Applicable to Artificial Intelligence:
A Preliminary Critique of the European Parliament
Resolution of 2020 122
Henrique Sousa Antunes
6 Liability for Complex Systems: The Challenge of Robotic
Technology in Private Law 143
Attila Menyhárd
7 Artificial Intelligence and Medical Decision-Making:
Wind of Change for Medical Malpractice Liability and Insurance? 167
Özgu?n Çelebi and Ayşegu?l Bu?ra Şar
8 Autonomous AI Torts: A Comparative Law and
Economics Approach 188
Mitja Kovac
9 Civil Liability all at Sea: The Challenges of Unmanned
Cargo Ships 211
Simon Baughen
10 Robotics Regulation and Liability Issues Concerning
Robotic Technologies in the Oil and Gas Sector 234
Kyriaki Noussia and Maria Glynou

Index 258