AI, Platforms & Data
The European AI liability directives – Critique of a half-hearted approach and lessons for the future
As the EU develops its AI liability framework, key gaps remain in addressing harms caused by advanced AI systems. This course critiques the fragmented structure of the current proposals and advocates for a single harmonized regime, combining strict liability for certain high-risk AI systems with clearer rules on fault, while incorporating non-discrimination, explainability, and sustainability into AI regulation.
Introductory9 lessons1 questions
What is covered
- 1Meet the author
- 2Session 1 - Introduction and Foundational Issues
- 3Session 2 - Analysis and Critique of the Proposed AI Liability Framework
- 4Session 3 - Specific Elements and Harmonization Challenges
- 5Session 4 - The Way Forward: Proposals for an Effective AI Liability Framework
- 6Session 5 - Conclusions
- 7Read Paper
- 8We would love your feedback!1 question