This analysis explores the EU AI Continent Action Plan’s approach to implementing the AI Act within a complex multi-level governance system. The paper assesses how simplification efforts can influence consistency, legal clarity, and the broader goal of establishing Europe as a global AI leader.

This article examines the intersection of biometric data and facial recognition in the EU, highlighting the legal and cybersecurity frameworks that shape their use. Drawing on GDPR requirements and current debates on ethical deployment, it explores how EU regulations seek to balance innovation with the protection of privacy and fundamental rights.

Governments face significant barriers to AI procurement due to the complexity of EU AI law and a lack of clear implementation guidance. Key challenges include definitional ambiguity around AI and a significant knowledge gap between public procurers and AI vendors. Data quality and technology infrastructure issues are also hampering the effective use of AI. The article highlights the critical need for clearer, practical guidance at both EU and national level to ensure compliant AI procurement.

Explore the pressing challenges at the intersection of military AI and international humanitarian law. Discover why current regulations may not be sufficient to address the unpredictable nature of AI-powered weapons, and the critical need for adaptive legal review to ensure the protection of civilians in an era of increasing autonomy in warfare.

The definition of systemic risk in Article 3(65) of the EU AI Act presents challenges of interpretation due to potential ambiguities. This working paper analyses these ambiguities and how the GPAI Code of Practice attempts to categorise these risks through a taxonomy. A key concern is the potential for exploitation of these systemic risk definitions by GPAI model providers.

The AI Regulation Chair is proud to announce its significant contribution to the book “The EU Artificial Intelligence (AI) Act: A Commentary”. This comprehensive work contains analyses from numerous experts and academics in the field. The Chair’s contribution includes a commentary on Articles 16 and 17 of the AI Act, which deal with the obligations of providers of high-risk AI systems and the implementation of a quality management system.