Artificial Intelligence Ethics and International Law - 2nd Edition : Practical approaches to AI governance

✍ Scribed by Abhivardhan;

• Publisher: BPB Publications
• Year: 2024
• Tongue: English
• Leaves: 312
• Edition: 2
• Category: Library

✦ Synopsis

Unveiling the future: Navigating AI's Intricate Intersection with International Law – A Journey Beyond Hype and Governance KEY FEATURES ● Comprehensive overview of AI ethics and international law. ● Exploration of pragmatic approaches to AI governance. ● Navigation of global legal dynamics. ● Soft law recommendations for responsible AI development. DESCRIPTION Dive into the dynamic realm of AI governance with this groundbreaking book. Offering cutting-edge insights, it explores the intricate intersection of artificial intelligence and international law. Readers gain invaluable perspectives on navigating the evolving AI landscape, understanding global legal dynamics, and delving into the nuances of responsible AI governance. Packed with pragmatic approaches, the book is an essential guide for professionals, policymakers, and scholars seeking a comprehensive understanding of the multifaceted challenges and opportunities presented by AI in the global legal arena. The book begins by examining the fundamental concepts of AI ethics and its recognition within international law. It then delves into the challenges of governing AI in a rapidly evolving technological landscape, highlighting the need for pragmatic and flexible approaches to AI regulation. Subsequent chapters explore the diverse perspectives on AI classification and recognition, from legal visibility frameworks to the ISAIL Classifications of Artificial Intelligence. The book also examines the far-reaching implications of Artificial General Intelligence (AGI) and digital colonialism, addressing the ethical dilemmas and potential dangers of these emerging technologies. In conclusion, the book proposes a path toward self-regulation and offers soft law recommendations to guide the responsible development and deployment of AI. It emphasizes the importance of international cooperation and collaboration in addressing the ethical and legal challenges posed by AI, ensuring that AI's transformative power is harnessed for the benefit of all humanity. WHAT YOU WILL LEARN ● Understand AI's impact on global legal frameworks. ● Navigate complexities of AI governance and responsible practices. ● Explore innovative AI applications and economic dimensions. ● Grasp legal visibility, privacy doctrines, and classification methods. ● Assess the evolution from Narrow AI to AGI and digital colonialism. ● Gain insights into self-regulation and the future of AI. WHO THIS BOOK IS FOR This book is tailored for professionals, policymakers, and scholars seeking a comprehensive understanding of AI's intersection with international law. While no specific prerequisites are necessary, a foundational awareness of AI concepts and legal frameworks will enhance the reader's engagement with the material. TABLE OF CONTENTS SECTION 1: Introduction 1. Artificial Intelligence and International Law SECTION 2: Technology Governance 2. Pragmatism in Governing AI 3. The Innovation and Economics of AI SECTION 3: Classification and Recognition of Artificial Intelligence 4. Legal Visibility 5. The Privacy Doctrine 6. The ISAIL Classifications of Artificial Intelligence SECTION 4: Artificial Intelligence in a Multi-polar World 7. AGI and Digital Colonialism 8. Self-Regulating the Future of AI

✦ Table of Contents

Cover
Title Page
Copyright Page
Dedication Page
Foreword
Foreword
Testimonials
About the Author
About the Reviewer
Acknowledgement
Preface
Table of Contents
Section 1: Introduction
1. Artificial Intelligence and International Law
The complexity in understanding AI
Using legal linguistics to interpret disruptive technologies
Outlook beyond Law 1.0 and 2.0
Conclusion
References
Section 2: Technology Governance
2. Pragmatism in Governing AI
The Workflow of International Law
The Limitations of International Law
Sovereignty and International Cyber Law
Different shades of multilateral governance
Concept – Entity – Industry Classification Method
Subject – Object – Third Party Method
Analytics, automation, and intelligence in diplomacy
Conclusion
References
Endnotes
3. The Innovation and Economics of AI
Weaponization of data, algorithms, and everything
What is the weaponization of everything?
Artificial Intelligence hype is real
Conclusion
References
Section 3: Classification and Recognition of Artificial Intelligence
4. Legal Visibility
What is Legal Visibility?
Recognition of AI in Common Law Systems
The Tegmark Approach of AI Ethics
Realm of Dimensional Perpetuity
Digital Identity in AI and International Law
How Data Quality and Privacy Shapes AI Recognition
Entitative Nature of Artificial Intelligence
The Human-Artifact Conjunction
Conclusion
References
Endnotes
5. The Privacy Doctrine
The Linear Approach of Human Rights
Problems with reactionary approach to legal thinking
What is the Privacy Doctrine?
Interaction
Revelation
Relation
Beyond radicalism in International Human Rights Law
A Unique Approach to International Privacy Law
Sovereignty and Natural Morality in Industry 4.0
The Rule of Law Question on a Human Right in the Eyes of Law
From equality to manifested equity
Conclusion
References
Endnotes
6. The ISAIL Classifications of Artificial Intelligence
Recognizing the status of the algorithm
Concept-Entity-Industry Classification
Concept
Entity
Industry
Subject-Object-Third party classification
The doctrine of manifest availability
Conclusion
References
Section 4: Artificial Intelligence in a Multi-polar World
7. AGI and Digital Colonialism
The Multi-polar world: Explained
From Narrow AI to AGI
How Digital Colonialism shapes AI ethics norms
Ideology
Technology
Economics
Limits of Responsible AI
Artificial Intelligence Hype in Competition Law
Stage 1: Influence or generation determination
Stage 2: Influencing or generating market perceptions and conditions
Stage 3: Uninformed or disinformed markets
Stage 4: Misdirected perceptions in the information and digital economy
Stage 5: Estimation of the Hype Cycle through risk determination
Conclusion
References
8. Self-Regulating the Future of AI
Generative AI and Derivation of AI-based products and services
General Intelligence applications
Standalone Generative AI applications
Derivative Generative AI Applications
How to enable responsible and economic innovations
India’s role in shaping global technology norms
Soft Law Recommendations on the future of AI
Conclusion
References
Index