Multidisciplinary Institute in Artificial intelligence
Titled "From Regulation to Infrastructure: Testing the Secondary-Use Pathway for AI Training under the EHDS," the session moved away from traditional academic panels to adopt a hands-on, participative governance simulation. Over 75 minutes, attendees stepped into the shoes of key stakeholders: an AI developer ("CardioAI"), Health Data Access Bodies (HDABs), and health data holders.
Using a hypothetical cross-border use case — a company training a cardiovascular disease detection tool requiring data from France, Germany, Sweden, and fitness platforms like Apple Health — participants actively stress-tested the operational reality of the European Health Data Space (EHDS).
During the workshop, participants discussed the various governance challenges faced by Data Users, Health Data Access Bodies, and Data Holders. Rather than discussing policy in the abstract, this MIAI-backed workshop, moderated by Pankaj Raj, Research Engineer at CHAIR, successfully explored whether Europe’s regulatory ambitions can truly translate into workable infrastructure for large-scale AI training.
