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Regulating Artificial Intelligence in Industry

By: (Edited by) Damian M. Bielicki

Manufacture on Demand

Ksh 7,550.00

Format: Paperback / Softback

ISBN-10: 1032159650

ISBN-13: 9781032159652

Series: Routledge Research in the Law of Emerging Technologies

Publisher: Taylor & Francis Ltd

Imprint: Routledge

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jan 29th, 2024

Print length: 240 Pages

Weight: 390 grams

Dimensions (height x width x thickness): 15.60 x 23.30 x 2.20 cms

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Artificial Intelligence has augmented human activities and unlocked opportunities for many sectors. As with most advancing technologies, law is often playing catch up so the study of how law interacts with AI is more critical now than ever. This book provides a detailed qualitative exploration into regulatory aspects of AI in industry.

Artificial Intelligence (AI) has augmented human activities and unlocked opportunities for many sectors of the economy. It is used for data management and analysis, decision making, and many other aspects. As with most rapidly advancing technologies, law is often playing a catch up role so the study of how law interacts with AI is more critical now than ever before. This book provides a detailed qualitative exploration into regulatory aspects of AI in industry.

Offering a unique focus on current practice and existing trends in a wide range of industries where AI plays an increasingly important role, the work contains legal and technical analysis performed by 15 researchers and practitioners from different institutions around the world to provide an overview of how AI is being used and regulated across a wide range of sectors, including aviation, energy, government, healthcare, legal, maritime, military, music, and others. It addresses the broad range of aspects, including privacy, liability, transparency, justice, and others, from the perspective of different jurisdictions.

Including a discussion of the role of AI in industry during the Covid-19 pandemic, the chapters also offer a set of recommendations for optimal regulatory interventions. Therefore, this book will be of interest to academics, students and practitioners interested in technological and regulatory aspects of AI.


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