Two PhD student positions on Epistemology & Ethics of Explainable AI, Tübingen (Germany)

The Cluster of Excellence "Machine Learning - New Perspectives for Science" at the University of Tübingen in cooperation with the International Center for Ethics in the Sciences and Humanities (IZEW) advertises 2 PhD Positions - on the Epistemology and on the Ethics of Explainable AI, to be filled in fall 2020. Both positions are limited to 3 years and are part of the project 'Artificial Intelligence, Trustworthiness, and Explainability' funded by the Baden-Württemberg-Stiftung.

PhD position 1: Epistemology of Explainable AI. The doctoral student will work on 'Explainability and (Scientific) Explanation', in close collaboration with Dr. Eric Raidl. The objective of this project is to identify epistemic and scientific norms governing explanation and to analyze how these are to constrain explainable AI.

PhD position 2: Ethics of Explainable AI. The doctoral student will work on 'The Value(s) of Explainable AI', in close collaboration with Dr. Thomas Grote. The objective of this project is to identify normative criteria for algorithmic explanations, which render algorithmic decisions justifiable and/or trustworthy.