Artificial Intelligence · 1st Edition
Artificial Intelligence Law - 1st Edition - Margot E. Kaminski
Product details
Description
Artificial Intelligence Law 1st Edition Margot E. Kaminski
ISBN: 9798887865645
This new casebook provides a comprehensive examination of the rapidly evolving field of artificial intelligence law and its impact on legal, social, and economic systems. Designed for both traditional doctrinal courses and seminars, it treats AI law as an emerging area of legal study, combining primary legal sources, including cases, statutes, and regulations, with scholarly commentary, notes, and practical questions.
The book explores AI law through five major areas: automated decision-making, liability for physical harms, generative AI, privacy, and the development of AI-specific regulation. It covers a broad range of legal topics, including copyright, tort liability, product safety, First and Fourth Amendment issues, data protection, and consumer protection. Dedicated chapters examine important applications and challenges involving facial recognition, recidivism-prediction algorithms, and deepfakes.
Emphasizing both legal practice and technical understanding, the casebook includes accessible explanations of key AI technologies, such as neural networks, decision trees, and large language models. While focusing primarily on U.S. federal and state law, it incorporates comparative international perspectives, with substantial coverage of European Union law, including the EU AI Act. The result is a practical and comprehensive resource for students, legal practitioners, and policymakers navigating the rapidly developing landscape of artificial intelligence regulation.
Artificial Intelligence Law 2026 1st Edition Margot E. Kaminski
ISBN: 9798887865645, 979-8887865645, 979-8-8878-6564-5, 979-8-88786-564-5
Margot E. Kaminski, Colorado
Paul Ohm, Georgetown
Andrew D. Selbst, UCLA
Details
- ISBN
- 9798887865645
- Edition
- 1st Edition
- Publisher
- West Academic
- Publication Date
- November 2026
Condition Guide
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Acceptable
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