
A.I is a complementary tool for practitioners and educators. It cannot replace human competence; however, it can increase personal productivity and, in the academic setting, improve overall student learning. The resources included in this reference guide focus on explaining what A.I. is, how it being used in law, how it can be used by educators, and what are the risks inherent in its usage.
Please keep in mind, innovations in A.I. are moving faster than the people can publish. Many titles - in particular, those discussing general generative A.I. tools (e.g., ChatGPT and OpenAI) - may not address the newer tools being introduced in our legal research databases (e.g., Lexis A.I. Assistant and Westlaw Precision A.I. Assisted Research).
Garon's Artificial Intelligence Law and Regulation in a Nutshell
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Artificial Intelligence Law and Regulation in a Nutshell explores the law, technology, and emerging regulations for artificial intelligence, including its application to all AI systems such as predictive analytics, autonomous vehicles, and generative AI. It offers a nontechnical summary of AI models and the application of AI systems to healthcare, product design, robotics, creative arts, and the legal profession. The Nutshell then explains the intersection between AI and various legal fields, covering such topics as intellectual property, defamation, equal protection, state privacy biometric laws, products liability, HIPAA, GLBA, contracts, laws regulating armed conflict, and more. In addition to the focus on specific legal fields, chapters also explore how business organizations should develop and implement AI strategies, both for AI developers that are building new AI models and for AI deployers that are licensing models created by others. The Nutshell provides a single, comprehensive guide covering the essential considerations for AI regulatory policy and the steps necessary for enterprises to implement safe, reliable, and trustworthy AI systems.