CZS Institut für Künstliche Intelligenz und Recht

The CZS Institute for Artificial Intelligence and Law at the University of Tübingen sits at the intersection of two leading European research centers: a world-class AI ecosystem and a law faculty that hosts the first chair for the Law of Artificial Intelligence in Europe. Here, researchers from computer science and legal scholarship work together on the challenges arising from the interplay between AI and regulation. Supported by the University of Tübingen and the Carl Zeiss Foundation, the institute translates interdisciplinary theory into practical insights on topics such as algorithmic fairness, data governance, and AI regulation. For funders and collaboration partners, it offers a unique point of contact where cutting-edge machine learning research and sound legal scholarship enter into a genuine dialogue.

 

Research Groups

Kristof Meding

Computational Law Lab

 

The group examines the interplay between machine learning methods and legal scholarship. In doing so, it bridges the gap between the standards set by EU regulations such as the GDPR and the AI Act, and their technical feasibility.

 

[Translate to English:] Foto von Dr. Alina Wernick im Profile
Alina Wernick

AI, Society, and Law

 

The group examines how the law can foster AI innovation while also addressing risks such as surveillance, discrimination, and the gap between legal frameworks and the rapid pace of technological development.

 

Leadership

[Translate to English:] Foto von Professor Michèle Finck im Profil
Michèle Finck

Prof. Dr. Michèle Finck holds the CZS Chair for the Law of Artificial Intelligence. Her research focuses on AI regulation, data protection, and the governance of data intermediaries. She is a member of the UN Working Group on Data Governance and the AI Act Scientific Panel.

 

[Translate to English:] Foto von Professor Ulrike von Luxgurg im Profil
Ulrike von Luxburg

Prof. Dr. Ulrike von Luxburg specializes in machine learning theory and coordinates the Cluster of Excellence “Machine Learning for Science”. Her work examines the formal guarantees and hidden biases behind algorithms, particularly in the area of explainable AI.

[Translate to English:] Foto von Professor Stefan Thomas
Stefan Thomas

Prof. Dr. Stefan Thomas holds the Chair for Private Law, Commercial Law, Competition Law, and Insurance Law. He is an expert on algorithmic collusion and antitrust law in digital markets. He is also a member of the Scientific Advisory Board of the FIW (Research Institute for Economic Constitution and Competition) in Cologne.