Elgar Concise Encyclopedia of Artificial Intelligence and the Law: (Elgar Concise Encyclopedias in Law)

About the Book

This comprehensive Encyclopedia provides a groundbreaking exploration of the transformative impact of artificial intelligence (AI) technology on legal systems worldwide. With over 100 expert-authored entries, the volume delivers authoritative analysis of how rapidly evolving AI technologies intersect with established legal frameworks. The text covers a broad spectrum of topics, from foundational AI concepts to its most advanced applications in legal practice, while addressing the technology's implications across major areas of law.

Coverage includes:

• Intellectual property and rights protection implications of AI, including patentability of AI output, copyright for AI-generated works, trademark issues, trade secrets, publicity rights, data protection, facial recognition technology, and human rights
• Civil and criminal law, including liability frameworks, criminal responsibility, evidence analysis, AI judges, predictive policing, and litigation strategies
• Sector-specific applications and emerging challenges related to healthcare, financial markets, corporate governance, autonomous vehicles, space law, deepfakes, bias, content moderation, AI manipulation, autonomous weapons, and synthetic content
• Analysis of AI legislation and privacy law across North America, Europe, Asia, Africa, Australia, and Latin America
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  The Elgar Concise Encyclopedia of Artificial Intelligence and the Law is an invaluable reference for scholars, practitioners, and students navigating technology law. Policymakers, regulators, computer scientists, compliance professionals, AI researchers requiring legal context, corporate counsel, and business leaders implementing AI technologies will also benefit from its crucial insights.

Table of Contents:
Contents Foreword xiii Preface xv 1 Overview and evolution of artificial intelligence 1 Vince Lynch and Finnegan H. Laister Smith 2 Accessibility 7 Rebecca Rich 3 AI agents 11 Franklin Graves 4 AI governance 14 Brinson S. Elliott and Karen E. Silverman 5 AI judges 20 Elizabeth Chan and Kiran Nasir Gore 6 AI Manipulation Problem 25 Louis Rosenberg 7 Algorithmic evidence 28 Jacob Turner 8 Antitrust, algorithmic collusion 33 Garry Gabison 9 Antitrust, data monopolization 36 Garry Gabison 10 Artificial Inventor Project 40 Shlomit Yanisky-Ravid and Alec Goldstein 11 Author remuneration 45 Georgia Jenkins 12 Autonomous systems, legal boundaries 48 Mikolaj Firlej 13 Autonomous vehicles 52 Anne Rose and Georgina Hathway 14 Autonomy and control 57 Mikolaj Firlej 15 Bias 61 Seth J. Chandler 16 Bias, gender 66 Vidushi Chaturvedi and Margaret Chon 17 Bias, racial 70 Seth J. Chandler 18 Blockchain 75 Kevin Werbach 19 Chatbots and legal services 80 Tabrez Y. Ebrahim 20 Child rights 84 Ana Andrijevic 21 Civil liability, AI liability 88 Gabriel Weil 22 Civil liability, duty and breach 91 Omri Rachum-Twaig 23 Computational legal analysis 95 Tabrez Y. Ebrahim 24 Consumer rights and algorithms 99 Gregory M. Dickinson 25 Content authentication 103 Franklin Graves 26 Content moderation, AI-driven 107 Kevin Frazier 27 Content moderation, children 112 Ana Andrijevic 28 Copyright law, AI-generated output 117 Matt Hervey 29 Copyright law, creative style 121 Seán M. O’Connor 30 Copyright law, infringement by AI generated output 124 Danny Friedmann 31 Copyright law, training data 129 Matthew Sag 32 Copyright law, United Kingdom 133 Enrico Bonadio and Nicola Lucchi 33 Corporate governance 137 Seán M. O’Connor 34 Corporations and AI policy 140 Mihailis E. Diamantis 35 Criminal investigations 143 Sonia M. Gipson Rankin 36 Criminal responsibility 149 Mihailis E. Diamantis 37 Cybernetics 152 Shubha Ghosh 38 Cybersecurity 156 Nicholas J. Nugent 39 Deepfakes 161 Eli Edwards 40 Dispute resolution 166 Amy J. Schmitz 41 Document review 170 Sean Allan Harrington 42 Drones 174 Mikolaj Firlej 43 Ethical obligations, lawyers 179 Jennifer L. Wondracek 44 Evidence analysis 184 Daniel Garrie and Sofia Mahairas 45 Facial recognition technology 187 Shlomit Yanisky-Ravid and Adam Guttentag 46 Facial recognition technology, privacy 191 Shlomit Yanisky-Ravid and Adam Guttentag 47 Financial market regulation 195 Nikita Aggarwal 48 First Amendment constraints, United States 200 Alan Z. Rozenshtein 49 Healthcare and bioethics 204 Trevor Cook 50 Housing discrimination 209 Nadiyah J. Humber 51 Human augmentation, legal issues 213 Woodrow Barfield 52 Human rights 217 Mark Chinen 53 Intellectual property theory 222 Plamen Dinev 54 Journalism 227 Daniel Gervais 55 Large language models (LLMs) 230 Shawn Bayern 56 Legal interfaces for artificial intelligence 234 Shawn Bayern 57 Legal research 238 Amy A. Emerson 58 Legal writing 242 Dyane O’Leary 59 Litigating against AI 245 Yvette Joy Liebesman 60 Litigation forecasting 248 Korin Munsterman 61 Machine learning, an introduction 252 Ryan N. Phelan 62 Mechanistic interpretability 256 Vince Lynch and Finnegan H. Laister Smith 63 Natural language processing (NLP) 258 Andreas Wagner 64 Neural networks 263 Nathan Reitinger 65 Obscenity law 266 Michael P. Goodyear 66 Patent law 270 Richard Arnold 67 Patent law, inventorship 274 Rama G. Elluru 68 Predictive analytics 278 Korin Munsterman 69 Predictive policing 282 Melissa Hamilton 70 Privacy law, Asia 286 Shantanu Sahay and Gurjot Singh 71 Privacy law, child data 290 Joshua Aaron Jones 72 Privacy concerns with AI health apps 296 Delaram Rezaeikhonakdar 73 Privacy law, European Union 300 Mikołaj Barczentewicz 74 Privacy law, India 303 Pravin Anand 75 Privacy law, IoT 307 Guido Noto La Diega 76 Privacy law, Singapore 313 Zee Kin Yeong 77 Privacy law, United States 316 Pam Dixon 78 Privacy, children, smart toys 320 Jon M. Garon 79 Publicity, right of 325 Michael P. Goodyear 80 Regulation, global overview 329 Aviv Gaon and Yuval Reinfeld 81 Regulation, Africa 335 Isaac Rutenberg and Eliane Ubalijoro 82 Regulation, Australia 340 Nicholas Boyle 83 Regulation, Canada 343 Justine Gauthier 84 Regulation, China 345 Phoebe Woo 85 Regulation, European Union 349 Damian Flisak 86 Regulation, India 353 Vidushi Chaturvedi and Margaret Chon 87 Regulation, Latin America 357 Sofía Fernández Bonaudi and Daniel Rodríguez Maffioli 88 Regulation, New Zealand 361 Michael D. Pendleton 89 Regulation, Singapore 364 Zee Kin Yeong 90 Regulation, United Kingdom 368 Jamie Susskind 91 Regulation, United States 372 Dhruva Krishna and Julianna Montano 92 Securities regulation 377 Seán M. O’Connor 93 Sentencing guidelines 381 Melissa Hamilton 94 Software as a medical device (SaMD) 385 Tatiana Aranovich 95 Space law 389 Woodrow Barfield 96 Standards 393 Gary Marchant 97 Summarization 398 Ashley Krenelka Chase 98 Supervised learning 401 Ryan Phelan 99 Synthetic content 404 Darrell G. Mottley and Beatriz Brito Beserra 100 Synthetic data 408 Nathan Reitinger 101 Tax administration 411 Vasiliki Koukoulioti and Ira K. Lindsay 102 Telecommunications 415 Nicholas J. Nugent 103 Trade secrets 419 Camilla A. Hrdy 104 Trademarks 424 Daryl Lim 105 Translation 429 Ashley Krenelka Chase 106 Unsupervised learning 432 Vince Lynch and Marsalis Gibson 107 Warfare 436 Nathan Reitinger Index 439

About the Author :
Edited by Ryan Abbott, Professor of Law and Health Sciences, School of Law, University of Surrey, UK and Adjunct Associate Professor of Medicine, David Geffen School of Medicine, University of California, Los Angeles and Elizabeth Rothman, Adjunct Professor, University of Southern California Gould School of Law and Patentx Faculty, Harvard Law School and World Intellectual Property Organization (WIPO), USA

Review :
‘A vital and timely resource, the Encyclopedia brings clarity and insight to one of the most complex technological transformations of our time. As we confront the promise and peril of increasingly intelligent systems, this volume is essential for anyone shaping the law’s future. With contributions from leading experts across disciplines and continents, it offers a breadth of important foundational entries that will serve well scholars, lawyers, and policymakers.’