Elgar Concise Encyclopedia of Artificial Intelligence and the Law

Name: Elgar Concise Encyclopedia of Artificial Intelligence and the Law
Brand: Edward Elgar Publishing
SKU: 9781035336890
Price: 3089.45 HKD
Availability: InStock
Author: Ryan Abbott; Elizabeth Rothman
ISBN: 9781035336890

Edited by Ryan Abbott · Elizabeth Rothman

Edward Elgar Publishing December 2025

Specifications

ISBN-13: 9781035336890
Publisher: Edward Elgar Publishing
Publication: December 2025
Format: Hardback
Jurisdiction: U.K. ? Countri(es) for reference only

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Details

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

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.

Foreword xii; Preface xiv; 1.
Overview and evolution of artificial i ntelligence 1: Vince Lynch and Finnegan H. Laister Smith; 2.
Accessibility 5: Rebecca (Becka) Rich; 3.
AI agents 9: Franklin Graves; 4.
AI governance 12: Brinson S. Elliott and Karen; E. Silverman; 5.
AI judges 18: Elizabeth Chan and Kiran Nasir Gore; 6.
AI Manipulation Problem 23: Louis Rosenberg; 7.
Algorithmic evidence 26: Jacob Turner; 8.
Antitrust, algorithmic collusion 30: Garry Gabison; 9.
Antitrust, data monopolization 33: Garry Gabison; 10.
Artificial Inventor Project 37: Shlomit Yanisky Ravid and Alec Goldstein; 11.
Author remuneration 42: Georgia Jenkins; 12.
Autonomous systems, legal boundaries 45: Mikolaj Firlej; 13.
Autonomous vehicles 49: Anne Rose and Georgina Robinson; 14.
Autonomy and control 54: Mikolaj Firlej; 15.
Artificial intelligence and bias 58: Seth J. Chandler; 16.
Bias, gender 62: Vidushi Chaturvedi; 17.
Bias, racial 66: Seth J. Chandler; 18.
Blockchain 70: Kevin Werbach and Liem Sioe Liong; 19.
Chatbots and legal services 75: Tabrez Y. Ebrahim; 20.
Child rights 79: Ana Andrijevic; 21.
Civil liability, AI liability 83: Gabriel Weil; 22.
Civil liability, duty and breach 86: Omri Rachum-Twaig; 23.
Computational legal analysis 90: Tabrez Y. Ebrahim; 24.
Consumer rights and algorithms 94: Gregory M. Dickinson; 25.
Content authentication 98: Franklin Graves; 26.
Content moderation, AI-driven 102: Kevin Frazier; 27.
Content moderation, children 107: Ana Andrijevic; 28.
Copyright law, AI-generated output 112: Matt Hervey; 29.
Copyright law, creative style 116: Seán M. O’Connor; 30.
Copyright law, infringement by AI generated output 119: Danny Friedmann; 31.
Copyright law, training data 124: Matthew Sag; 32.
Copyright law, United Kingdom 128: Enrico Bonadio and Nicola Lucchi; 33.
Corporate governance 132: Seán M. O’Connor; 34.
Corporations and AI policy 135: Mihailis E. Diamantis; 35.
Criminal investigations 138: Sonia M. Gipson Rankin; 36.
Criminal responsibility 144: Mihailis E. Diamantis; 37.
Cybernetics 147: Shubha Ghosh; 38.
Cybersecurity 151: Nicholas J. Nugent; 39.
Deepfakes 156: Eli Edwards; 40.
Dispute resolution 161: Amy J. Schmitz; 41.
Document review 164: Sean Allan Harrington; 42.
Drones 168: Mikolaj Firlej; 43.
Ethical obligations, lawyers 173: Jennifer L. Wondracek; 44.
Evidence analysis 178: Daniel Garrie and Sofia Mahairas; 45.
Facial recognition technology 182: Shlomit Yanisky-Ravid and; Adam Guttentag; 46.
Facial recognition technology,: privacy 186; Shlomit Yanisky Ravid and; Adam Guttentag; 47.
Financial markets regulation 190: Nikita Aggarwal; 48.
First Amendment constraints,: United States 195; Alan Z. Rozenshtein; 49.
Healthcare and bioethics 199: Trevor Cook; 50.
Housing discrimination 204: Nadiyah J. Humber; 51.
Human augmentation, legal: issues 208; Woodrow Barfield; 52.
Human rights 212: Mark Chinen; 53.
Intellectual property theory 217: Plamen Dinev; 54.
Journalism 222: Daniel Gervais; 55.
Large language models (LLMs) 225: Shawn Bayern; 56.
Legal interfaces for artificial: intelligence 229; Shawn Bayern; 57.
Legal research 233: Amy A. Emerson; 58.
Legal writing 237: Dyane O’Leary; 59.
Litigating against AI 240: Yvette Joy Liebesman; 60.
Litigation forecasting 243: Korin Munsterman; 61.
Machine learning, an: introduction 247; Ryan N. Phelan; 62.
Mechanistic interpretability 251: Vince Lynch and Finnegan H; Laister Smith; 63.
Natural language processing: (NLP) 253; Andreas Wagner; 64.
Neural networks 258: Nathan Reitinger; 65.
Obscenity law 261: Michael P. Goodyear; 66.
Patent law 265: Richard Arnold; 67.
Patent law, inventorship 269: Rama G. Elluru; 68.
Predictive analytics 273: Korin Munsterman; 69.
Predictive policing 277: Melissa Hamilton; 70.
Privacy law, Asia 281: Shantanu Sahay and Gurjot Singh; 71.
Privacy law, child data 285: Joshua Aaron Jones; 72.
Privacy law, digital health apps 291: Delaram Rezaeikhonakdar; 73.
Privacy law, European Union 295: Mikołaj Barczentewicz; 74.
Privacy law, India 298: Pravin Anand; 75.
Privacy law, IoT 302: Guido Noto La Diega; 76.
Privacy law, Singapore 308: Zee Kin Yeong; 77.
Privacy law, United States 311: Pam Dixon; 78.
Privacy, children, smart toys 315: Jon M. Garon; 79.
Publicity, right of 320: Michael P. Goodyear; 80.
Regulation, global overview 324: Aviv Gaon and Yuval Reinfeld; 81.
Regulation, Africa 330: Isaac Rutenberg and Eliane Ubalijoro; 82.
Regulation, Australia 335: Nicholas Boyle; 83.
Regulation, Canada 338: Justine Gauthier; 84.
China regulatory overview 340: Phoebe Woo; 85.
Regulation, European Union 344: Damian Flisak; 86.
Regulation, India 348: Vidushi Chaturvedi and; Margaret Chon; 87.
Regulation, Latin America 352: Sofía Fernández Bonaudi and; Daniel Rodríguez Maffioli; 88.
Regulation, New Zealand 356: Michael D Pendleton; 89.
Regulation, Singapore 360: Zee Kin Yeong; 90.
Regulation, United Kingdom 364: Jamie Susskind; 91.
Regulation, United States 368: Dhruva Krishna and Julianna; Montano; 92.
Securities regulation 373: Seán M. O’Connor; 93.
Sentencing guidelines 377: Melissa Hamilton; 94.
Software as a medical device: (SaMD) 381; Tatiana Aranovich; 95.
Space law 385: Woodrow Barfield; 96.
Standards 389: Gary Marchant; 97.
Summarization 394: Ashley Krenelka Chase; 98.
Supervised learning 397: Ryan Phelan; 99.
Synthetic content 400: Darrell G. Mottley and Beatriz Brito Beserra; 100.
Synthetic data 404: Nathan Reitinger; 101.
Tax administration 407: Vasiliki Koukoulioti and Ira; K. Lindsay; 102.
Telecommunications 411: Nicholas J. Nugent; 103.
Trade secrets 415: Camilla A. Hrdy; 104.
Trademarks 420: Daryl Lim; 105.
Translation 424: Ashley Krenelka Chase; 106.
Unsupervised learning 427: Vince Lynch and Marsalis Gibson; 107.
Warfare 431: Nathan Reitinger