Introduction to AI Law and Policy: Primary Legal and Policy Sources on AI Governance, First Edition

Buy a new version of this textbook and receive access to the Connected eBook on Casebook Connect, including academic lifetime access to the online ebook with highlight, annotation, and search capabilities. Access also includes an outline tool and other helpful resources. Connected eBooks provide what you need most to be successful in your law school classes. Introduction to AI Law and Policy: Primary Legal and Policy Sources on AI Governance offers a survey of law and policy introduced by artificial intelligence (AI) and other emerging technologies. As the law of AI is still nascent, this book will explore developments in law and policy that attempt to bring AI under increased regulatory and legal oversight. It provides a panoramic snapshot of a fastmoving phenomenon in a transformative moment of history, and attempts to capture a wide-lens story of technology that is disruptive and an area of law that is undergoing the earliest stages of experimentation. Rather than cover all of AI-related legal issues, the casebook aims for breadth of the evolving history of a range of AI governance concepts. The approach will ground the student in how AI must be interrogated for its governance impact through a wide range of case studies. The evolving arc of AI governance is examined through a series of primary source materials—complaints and cases, statutes, regulations, reports, press releases and policy guidance documents—that span multiple areas of law and policy, including Data Privacy, Cybersecurity, Antidiscrimination Law, Product Liability and Torts, Intellectual Property, Antitrust, National Security, and other related fields.  Benefits for instructors and students: Legal definitions of AI, including AI systems, components, and domains Representative frameworks of AI governance, including regulating automation and algorithmic decisionmaking Specific pillars of AI governance aims and objectives, including: Antidiscrimination Transparency and Explanation Data Privacy and Autonomy Personhood and Citizenship Human Oversight Distinctions between AI and its treatment under the law Conceptualization of AI ethics and AI audits Preventive measures and AI remedies Visualization of the future of AI labor, research, and energy policy