Law, Death, and Robots : The Regulation of Artificial Intelligence in High-Risk Civil Applications
by
Keri Grieman
Book Details
Format
Paperback / Softback
ISBN-10
1509977406
ISBN-13
9781509977406
Publisher
Bloomsbury Publishing PLC
Imprint
Hart Publishing
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 16th, 2026
Print length
312 Pages
Weight
514 grams
Dimensions
23.20 x 15.20 x 2.00 cms
Ksh 8,600.00
Manufactured on Demand
0 in stock
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Quality
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Can the law keep up with AI?This book examines liability and regulation for artificial intelligence causing serious physical harm, both now and in the future.
While AI moves quickly, regulation follows more slowly - an increasing problem for an evolutionary, fast-paced emerging technology. AI has the potential to save lives, but in doing so will have the potential to take them as well. How do we future-proof law and regulation to incentivise life-saving innovation as safely as possible?
This book details how to regulate AI in high-risk civil applications (for example, automated vehicles and medicine), addressing both liability and regulatory structure. It highlights crucial liability themes for technology governance; provides tools to bridge the gap between regulators and technologists; examines jurisdictional approaches to AI regulation in the EU, UK, USA, and Singapore; and ultimately suggests a jurisdiction-agnostic blueprint for regulation.
While AI moves quickly, regulation follows more slowly - an increasing problem for an evolutionary, fast-paced emerging technology. AI has the potential to save lives, but in doing so will have the potential to take them as well. How do we future-proof law and regulation to incentivise life-saving innovation as safely as possible?
This book details how to regulate AI in high-risk civil applications (for example, automated vehicles and medicine), addressing both liability and regulatory structure. It highlights crucial liability themes for technology governance; provides tools to bridge the gap between regulators and technologists; examines jurisdictional approaches to AI regulation in the EU, UK, USA, and Singapore; and ultimately suggests a jurisdiction-agnostic blueprint for regulation.
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