Cluster of Excellence – Machine Learning for Science
Law and Artificial Intelligence
Prof. Dr. Michèle Finck
Michèle Finck is Professor of Law and Artificial Intelligence at the University of Tübingen. Her chair is supported by the Carl Zeiss Foundation, and she receives additional support by our Cluster. Prof. Finck is moreover an Affiliated Fellow at the Max Planck Institute for Innovation and Competition, the Centre for Blockchain Technologies at University College London and a Visiting Professor at LUISS University.
Professor Finck's research focuses on the interactions between law and artificial intelligence with a particular emphasis on data (protection) law and data governance. She is mapping the emerging puzzle of European data law, in particular as regards the interaction between the General Data Protection Regulation and other components of EU data law with the newly proposed Artificial Intelligence Act, Data Governance Act, Digital Markets Act, Digital Services Act and Data Act.
Professor Finck is moreover carrying out research projects on federated machine learning and other privacy-preserving technologies such as zero-knowledge proofs (including in relation to blockchains) and has a keen interest in the regulation of data sharing services. An additional research focus of her chair is the usage of data and AI as components of climate change mitigation and adaptation strategies..
| Data as a Security Asset |
Cluster funded research project
Team member: Yuliya Miadzvetskaya(PhD student since January 2022)
Since the availability of data is foundational for the development of machine learning systems used in crucial sectors of economy, data (personal, non-personal) becomes an important element of national security. This research project aims to examine in which forms and under which conditions the European Union (EU) regulates data as a security asset by imposing soft and hard data localisation requirements, restricting international data flows and access to data by foreign authorities. This question is crucial for explaining the mismatch between the goals pursued by the EU of stimulating free movement of data across borders while pursuing national, internal and external EU security objectives that require to keep EU’s data on the EU territory.
| Law and the Data Economy |
Cluster funded research project
Team member: Dr. Gabriele Carovano (Postgraduate researcher since February 2022)
Dr Gabriele Carovano is a postdoctoral Research Fellow in AI Law at Tübingen University and Academic Fellow at the World Economic Forum.
Dr Carovano’s research focuses on the interactions between law, blockchain, and artificial intelligence with a particular emphasis on data law, data governance, and their competitive effects. Among others, he is currently conducting research on the role of competition law in tackling AI bias, the competition and data protection consequences of the Artificial Intelligence Act, Data Governance Act, Digital Markets Act, Digital Services Act, and Data Act.
Simultaneously, Dr Carovano is carrying out a research project aimed at improving international co-operation in competition law enforcement proceedings through the utilisation of artificial intelligence and blockchain technologies.
