AI, Platforms & Data

The Case for Global Governance of AI

This course argues that as artificial intelligence becomes more powerful and cross-border risks and ethical concerns grow, a global approach to AI governance is needed. It defends global governance on moral grounds and outlines the key challenges such a project entails.

Introductory12 lessons

What is covered

  1. 1Meet the author
  2. 2Session 1 – Introduction: The Growing Recognition of the Need for Global AI Governance
  3. 3Session 2 – The Central Question: Why Global Governance and What Form Should It Take?
  4. 4Session 3 – The Moral Imperative: The Primary Argument for Global Governance of AI
  5. 5Session 4 – The Hobbesian Argument: Avoiding a "Race to the Bottom"
  6. 6Session 5 – Nuance to the Hobbesian View: National and Supranational Regulation as a Partial Solution
  7. 7Session 6 – The Argument Based on the Risks of AGI and Superintelligence
  8. 8Session 7 – Counter-Arguments and Challenges: Introduction & Challenge 1: The Claim that Global Governance is Undemocratic
  9. 9Session 8 – Challenge 2: The Claim that Global Governance is Unrealistic and Too Idealistic & Challenge 3: Concerns Related to the Moral Component and Cultural Diversity
  10. 10Session 9 – Challenge 4: The Worry that Global Governance Might Hinder Technological Innovation & Conclusions
  11. 11Read Paper

Prepared by

Mark Coeckelbergh

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