Towards experimental standardization for AI governance in the EU

This course explores the European Union’s hybrid governance approach to Artificial Intelligence (AI), with a focus on the role of harmonized European standards (HES). While HES offer flexibility and technical expertise, they face challenges related to legitimacy and knowledge gaps. The course introduces the concept of experimental standardization—an ex-ante evaluation method grounded in experimental governance and evidence-based policymaking—as a solution to these issues. Through practical application in the context of HES, students will examine how this approach can enhance legitimacy, bridge epistemic gaps, and foster collaboration between science and policy in the regulation of AI.