AI Governance and Liability in Europe: A Primer

Edited by Ceyhun Necati Pehlivan, Nikolaus Forgó & Peggy Valcke 

In very short order, the artificial intelligence (AI) phenomenon has prompted many governance frameworks at every level of legal authority, from prominent international institutions to local government. This first-of-its-kind book, authored by prestigious scholars and top-tier professionals, provides exhaustive coverage of all AI regulatory developments affecting the Member States of the EU, focusing on the EU Artificial Intelligence Act and its ramifications. 

The contributors apply in-depth analysis to aspects of this burgeoning field of law and practice such as the following:

• key intersections of AI with competition law, data protection, intellectual property, and human rights;

  
  



• an article-by-article commentary on the Proposal for an EU AI Liability Directive;

  
  



• a broad spectrum of regulatory issues such as fairness, accuracy, transparency, human-centredness, trustworthiness, sustainability, and gender equity;

  
  



• questions about convergence and divergence among multiple governance frameworks;

  
  



• thorough examination of AI training with publicly available data in line with the General Data Protection Regulation (GDPR); and

  
  



• rapid changes in AI technology that are shaping the regulatory response. 

  
  

As the EU AI Act now has legal force, an immediate question concerns its effective implementation and enforcement. This includes the extent to which the frameworks offered by the OECD and UNESCO, as well as the Council of Europe’s Framework Convention on AI – and the global reach of AI regulation in the United States, China, and other countries – will affect legal compliance in Europe. This book’s in-depth legal insights and detailed commentary will equip legal professionals to apply regulatory standards, enhancing their practice and ensuring compliance with evolving laws. As a critical tool for policymakers, it provides well-informed perspectives that can guide the development of robust and forward-thinking AI regulations and policies. Its interdisciplinary reach and relevance will prove beneficial to many, including data protection officers, intellectual property lawyers, and competition law specialists.