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

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