Artificial Intelligence

Artificial Intelligence

Law and Regulation

Kerrigan, Charles

Edward Elgar Publishing Ltd

03/2022

608

Dura

Inglês

9781800371712

15 a 20 dias

Descrição não disponível.
Contents:

Foreword by Philip Treleaven xxiv
Preface xxvi
Table of cases xxviii
Table of legislation xxix
PART I INTRODUCTORY MATERIALS
1 Introductory essay 2
Charles Kerrigan
2 Themes of the chapters 24
Charles Kerrigan
3 Introduction to AI 30
Charles Kerrigan
with contributions from Suzanne Rab, Stephen Kenny QC, Charlotte Payne and Jason G Allen
4 Understanding AI 37
Tirath Virdee
PART II LEGAL
5 Corporate governance 57
Martin Petrin
6 Regulation 85
Hannah Yee-Fen Lim
7 Commercial contracts 109
Iain Sheridan
8 Commercial trade 133
Minesh Tanna and William Dunning
9 Agency and liability 146
Jason G Allen
10 Data and data protection 163
Peter Church and Richard Cumbley
11 Competition law 196
Suzanne Rab
12 Intellectual property 212
Rachel Free
13 Employment 238
Dana Denis-Smith
14 Disputes and litigation 250
Kushal Gandhi and Vanessa Whitman
PART III INDUSTRIES
15 Artificial intelligence and financial regulation 267
Richard Hay and Sophia Le Vesconte
16 Insurance 303
Stephen Kenny QC and Charlotte Payne
17 Retail and consumer 327
Matthew Bennett
18 Healthcare 340
Roland Wiring
19 Telecoms and connectivity 355
Suzanne Rab
20 Real estate 378
AP Moore, Claudia Giannoni, Nick Kirby and Nick Doffman
PART IV HUMAN AI
21 Ethics 398
Patricia Shaw
22 Bias and discrimination 422
Minesh Tanna and William Dunning
23 Public policy and government 443
Birgitte Andersen
24 Education 457
Stefano Barazza
25 Taxonomy of AI 475
Tirath Virdee, Doug Brown, Scott Stainton and Shaun Barney
26 Automation and fairness 493
Emre Kazim, Adriano Koshiyama and Jeremy Barnett
27 Risk management 505
Stephen Ashurst
28 Business models and procurement 516
Petko Karamotchev
29 Explainable AI and responsible AI 528
Charles Kerrigan and Oliver Vercoe
30 LegalTech 536
Richard Tromans

Index
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artificial intelligence; law; technology; business; bias;transparency; machine learning; data privacy; legaltech; automation and fairness