As part of its Annual Cluster Meeting 2026, taking place on 24–25 November at the Hellenic Pasteur Institute in Athens, Greece, the ExpoHealthNet Cluster will host a public online workshop exploring the legal, ethical and technical challenges of scaling health data for artificial intelligence (AI).
The workshop, “Scaling Health Data for AI: Legal, Ethical and Governance Requirements, will take place on 25 November 2026 and is the public session of the two-day Annual Cluster Meeting. It will provide an opportunity for researchers, technology developers, data analysts, data protection officers and other interested stakeholders to discuss responsible health data use and compliance with European regulatory requirements.
Exploring legal, ethical and governance requirements
The workshop will feature Dr Ricard Martínez Martínez, Senior Lecturer at the University of Valencia and an expert in data protection, ethics and governance.
In his presentation, “Scaling Health Data for AI: Legal, Ethical and Governance Requirements”, Dr Martínez Martínez will address key considerations for developing and using health datasets in AI applications, including:
Robust anonymisation and secure data processing.
The role of anonymisation within the European Health Data Space (EHDS).
Data minimisation and compliance requirements in AI development.
The presentation will be followed by an open discussion with participants, providing an opportunity to exchange perspectives, raise questions and explore practical challenges associated with the responsible use of health data for AI.
Join the public session of the ExpoHealthNet Annual Cluster Meeting
While the main programme of the ExpoHealthNet Annual Cluster Meeting is dedicated to cluster partners and invited stakeholders, this workshop is open to external participants.
Date: 25 November 2026
Time: 11:30–13:00 EET | 10:30–12:00 CET
Format: Online, as part of the Annual Cluster Meeting in Athens, Greece
Participation: Free, registration required
Registration: Link coming soon
Through this public session, ExpoHealthNet aims to extend the discussions of its Annual Cluster Meeting to the wider scientific and professional community, promoting responsible data sharing, interdisciplinary collaboration and the development of trustworthy AI applications in environmental health research.