Eric Raidl

Eric Raidl is a Research Fellow at the University of Tübingen, working within the Excellence Cluster "Machine Learning: New Perspectives for Science." He leads the AITE project and investigates the epistemology and logic of machine learning in science, exploring how knowledge represented in AI systems changes with new findings.

Raidl's academic background spans multiple French institutions:

• Paris 1 Panthéon-Sorbonne University (2007-2014): Doctoral studies in Philosophy
• Paris Diderot University (2006-2007): Mathematical Logic
• Paris Nanterre University (2005-2006): Philosophy

His research centers on the philosophical foundations of conditionals, explainability in artificial intelligence, and the epistemology of machine learning. Raidl examines how knowledge representations in AI systems evolve, bridging formal logic with practical AI concerns. His work explores the intersection of philosophical logic, epistemology, and machine learning, with particular focus on how conditionals function in both human reasoning and computational systems.

Raidl's publication record reveals a consistent trajectory from theoretical investigations of conditional logics to practical applications in AI explainability. His recent work (2022-2025) increasingly addresses real-world challenges in explainable AI while maintaining rigorous formal foundations. A distinctive feature of his scholarship is the application of classical philosophical methods to contemporary problems in artificial intelligence, particularly focusing on logical structures underlying machine learning systems.

His notable achievements include:

• CogSci Poster Award (2019)
• Fellow at Zukunftkolleg Konstanz
• Boursier de la Séléction Internationale ENS scholarship
• Stipendiat der Deutschen Studienstiftung scholarship

Raidl maintains extensive collaborations with researchers across Europe, particularly with scholars in Italy (University of Turin, University of Siena), Germany (University of Konstanz), and France. His interdisciplinary work combines expertise in philosophy, formal logic, and computer science, contributing to significant research initiatives within the Excellence Cluster framework.

As a core member of the Ethics and Philosophy Lab at the University of Tübingen, Raidl contributes to developing philosophical and logical foundations for responsible AI development, working from the AI Research Building at Maria-von-Linden-Str. 6 in Tübingen.