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Artificial Intelligence Ethics and International Law

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1

Introduction

  • Section 1: Introduction
  • Section 2: Technology Governance
  • Section 3: Classification and Recognition of Artificial Intelligence
  • Section 4: Artificial Intelligence in a Multi-polar World
2

Artificial Intelligence and International Law

  • The complexity in understanding AI
  • Using legal linguistics to interpret disruptive technologies
  • Conclusion
  • References
3

Pragmatism in Governing AI

  • The Workflow of International Law
  • Sovereignty and International Cyber Law
  • Different shades of multilateral governance
  • Conclusion
  • References
4

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
5

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
  • Conclusion
  • References
6

The Privacy Doctrine

  • The Linear Approach of Human Rights
  • Problems with reactionary approach to legal thinking
  • What is the Privacy Doctrine?
  • 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
7

The ISAIL Classifications of Artificial Intelligence

  • Recognizing the status of the algorithm
  • The doctrine of manifest availability
  • Conclusion
  • References
8

AGI and Digital Colonialism

  • The Multi-polar world: Explained
  • From Narrow AI to AGI
  • How Digital Colonialism shapes AI ethics norms
  • Artificial Intelligence Hype in Competition Law
  • Conclusion
  • References
9

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

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