Fabian LindeDC11

Bio

Fabian Linde is a doctoral candidate exploring the intersection of AI and law. Within the HARNESS doctoral network, he is enrolled at the Universidad Politécnica de Madrid (UPM) and supervised by Prof. Víctor Rodríguez-Doncel. His research examines the legal and ethical considerations of agents operating in data spaces.

Fabian holds a Bachelor’s degree in Engineering Science from the Technical University Munich (TUM), as well as Bachelor’s and Master’s degrees in Philosophy from the Ludwig Maximilian University (LMU) of Munich; furthermore, he graduated from a Master’s degree in Politics & Technology from TUM. Previous experiences include work on AI Ethics governance at SAP and a Blue Book traineeship at the European Commission, where he supported the development of the European Language Data Space.

Research interests

Publications

1. Towards Automated Context-Aware Bias Assessment
   Linde, F. — Doctoral Consortium, JURIX 2025, Turin, December 2025. PDF
2. DAOnt: A Formal Ontology for EU Data Act Compliance
   Leyva-Sánchez, S.; Linde, F.; Manab, M.A.; Poveda-Villalón, M.; Rodríguez-Doncel, V. — 3rd Conventicle on Artificial Intelligence Regulation and Safety, collocated with JURIX 2025, Turin, December 2025. Zenodo

Deliverables

1. D2.2 Survey of Compliance Methods and Tools
   WP2 · Lead: UPM — March 2026.
2. D2.3 Tools for Data Governance
   WP2 · Lead: UPM — December 2026.
3. D2.4 Risk Assessment and Management Models - v1
   WP2 · Lead: TCD — June 2026.