AI Laws Governance, Ethics, and the Future of Artificial Intelligence
By Anand Vemula
Length5h 2m
About this audiobook
AI Laws: Governance, Ethics, and the Future of Artificial Intelligence provides a comprehensive, forward-looking exploration of the legal, ethical, and policy challenges posed by the rise of artificial intelligence. Structured across seven in-depth parts, the book traces the evolution from foundational legal principles—such as transparency, accountability, and fairness—to the emergence of enforceable regulations like the EU AI Act, China’s generative AI laws, and U.S. sectoral frameworks.
It delves into cutting-edge legal debates on AI personhood, brain-computer interfaces, synthetic identities, and the convergence of quantum computing with AI. Sector-specific regulations—ranging from finance and healthcare to criminal justice and warfare—are unpacked in detail, showing how governments and agencies are adapting traditional laws to algorithmic decision-making.
The book also addresses governance mechanisms beyond formal law, such as algorithmic audits, AI ethics boards, and autonomous compliance systems. It tackles emerging issues including deepfakes, digital rights, environmental sustainability, and the legal complexities of the metaverse. The final chapters explore how constitutional law, sunset clauses, AI sandboxes, and speculative legal futures will shape coexistence between humans and increasingly autonomous, sentient machines.
Rich in analysis and grounded in global developments, this book is both a roadmap and a cautionary framework for legislators, technologists, ethicists, and legal scholars confronting a rapidly transforming digital society. With a unique blend of legal insight, interdisciplinary foresight, and original perspectives not found in prior works, AI Laws establishes itself as a definitive guide to regulating intelligence beyond the human realm.
Audiobook details
GenreEducation and Learning, Self-Help
Length5 hrs 2 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateJun 1, 2025
LanguageEnglish
Table of contents
11. The Legal DNA of Artificial Intelligence
22. Core Legal Principles for AI
33. From Soft Law to Hard Law
44. The EU AI Act: Implementation and Global Impact
55. The United States: Sectoral vs. Federal Approaches to AI Law
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66. China’s Model of AI Regulation
77. Bias, Discrimination, and Algorithmic Harm
88. UNESCO, OECD, and Global Harmonization Efforts
9Chapter 9: Synthetic Identities and Legal Personhood for AI
10Chapter 10: NeuroAI and Brain-Computer Interfaces: Law Beyond the Mind
11Chapter 11: Algorithmic Sovereignty and GeoFenced AI
12Chapter 12: Quantum-AI Convergence: Legal Implications of a Paradigm Shift
13Chapter 13: AI in Finance: Robo-Advisors, AML, and Credit Bias
14Chapter 14: AI in Healthcare: The Regulated Future of Medical Algorithms
15Chapter 15: AI in Criminal Justice and Policing
16Chapter 16: AI in Education and Employment
17Chapter 17: AI in Warfare and Autonomous Weapons
18Chapter 18: AI Bias, Discrimination, and Civil Rights Law
19Chapter 19: Deepfakes, Disinformation, and the Law of Digital Reality
20Chapter 20: AI and Environmental Law: Green Algorithms or Black Boxes?
21Chapter 21: AI Auditing and Impact Assessments
22Chapter 22: AI Ethics Boards and Independent Oversight Models
23Chapter 23: Self-Regulating AI Systems: Legal Status of Autonomous Compliance
24Chapter 24: Time-Sensitive Legislation: Sunset Clauses and AI Sandboxes
25Chapter 25: AI Constitutionalism: Rights and Limits in the Age of Artificial Agency
26Chapter 26: The Legal Metaverse: AI Avatars, Ownership, and Jurisdiction in Virtual Spaces
27Chapter 27: Post-Human Law: Regulation in the Age of Coexistence
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