Thomas Grote

Thomas Grote is a Research Fellow at the Ethics and Philosophy Lab of the University of Tübingen’s Cluster of Excellence "Machine Learning: New Perspectives for Science". Trained in philosophy, he works at the intersection of ethics and philosophy of science, focusing on interpretability, fairness, and reliability of machine-learning systems, especially in medicine and the social sciences.

Research Interests:

• Ethics & epistemology of AI, particularly healthcare AI
• Interpretability, fairness, and reliability of ML models
• Methodology of AI ethics and cross-disciplinary integration
• Computational psychiatry and predictive modelling in psychopathology

His recent publications analyse foundational questions such as how to ensure ML models fulfil their intended socio-technical functions and what guardrails guarantee safe deployment. Empirical domains of concern span clinical decision support, public health prediction, and computational psychiatry, unified by an overarching interest in the epistemic conditions for trustworthy AI.

Grants & Conference Roles:

• Co-supervisor, Carl-Zeiss-Stiftung project "Certification and Foundations of Safe Machine Learning Systems in Healthcare"
• Former co-supervisor, Baden-Württemberg Stiftung project "AI, Trustworthiness, and Explainability (AITE)"
• Co-organiser, "Philosophy of Science Meets Machine Learning" conference series (with Genin, Freiesleben, Zezulka)
• Program Chair, 4th European Workshop on Algorithmic Fairness (EWAF 2025), Eindhoven

He welcomes collaboration inquiries and enjoys coordinating workshops, joint grant applications, and interdisciplinary paper projects.