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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.

FreeEU · 9 lessonsStart free
Introductory
AI, Platforms & Data

The European AI Act’s Impact on Financial Markets: From Governance to Co-Regulation

This course examines the regulatory challenges of applying the EU AI Act to the financial sector, where existing sector-specific rules and the structural features of AI-driven services must align with horizontal AI requirements. It highlights regulatory gaps, explores how the Digital Operational Resilience Act (DORA) can address AI-related risks through governance of ICT risks, and assesses the limits of co-regulation tools such as regulatory sandboxes. Finally, it discusses the importance of coordinated supervisory policies and cross-authority collaboration, laying the groundwork for effective financial AI oversight in Europe.

FreeEU · 10 lessonsStart free

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