Michèle Finck

Michèle Finck is Professor of Law and Artificial Intelligence at the University of Tübingen and Director of the CZS Institute for Artificial Intelligence and Law. She previously held positions at the University of Oxford, the London School of Economics, and the Max Planck Institute for Innovation and Competition, and has served as a Visiting Professor at LUISS University and an Affiliated Fellow at University College London.

Her research focuses on the intersection of law and artificial intelligence, with particular emphasis on EU data law. Her work explores critical areas including the use of AI by public administrations, explainability of AI systems, access to data for environmental purposes, regulation of data intermediaries under the Data Governance Act, and the concepts of data controller and personal data under the GDPR.

Finck's publications reveal a strong trend toward analyzing regulatory frameworks for emerging technologies, with increasing focus on the EU AI Act implementation challenges and interdisciplinary approaches to technology governance. Her recent work demonstrates growing attention to cybersecurity aspects of AI systems, particularly in healthcare contexts, and the evolving relationship between environmental sustainability and data regulation.

• Honorable Mentions as part of the JEL Richard Macrory Prize for Best Article 2023
• Member of the Council of Europe's ad hoc Committee on Artificial Intelligence
• Member of the European Commission's Blockchain Observatory and Forum
• Advisory roles for national institutions, the European Commission, and the European Parliament

Professor Finck actively supervises a research team including postdocs and PhD candidates working on diverse aspects of AI and law. She is currently writing a book on the EU Artificial Intelligence Act for Oxford University Press (2025) and organizing an International PhD Summer School in Artificial Intelligence and EU Law (May 2025). Her research group collaborates with the CZS Institute for Artificial Intelligence and Law and the Cluster of Excellence 'Machine Learning in Science' at Tübingen.