Project B01: A dialog-based approach to explaining machine learning models

In Project B01, researchers are working on an artificial intelligence (AI) based system that can properly respond to questions at the level of language. In medicine, for example, the system should be able to explain a proposed treatment to a doctor and respond to patients’ questions and concerns regarding their treatment plan. The computer scientists and sociologists working on this project are including users’ perspectives in their research. For this, they are observing how, for instance, healthcare workers adopt this AI system and what requirements they have of the system. Based on these results, the researchers are developing a dialog system that can be used in a number of different areas of society.


Research areas: Computer science, Sociology

Project leaders

Prof. Dr. Philipp Cimiano, Bielefeld University

Prof. Dr. Elena Esposito, Bielefeld University

Prof. Dr. Axel-Cyrille Ngonga Ngomo, Paderborn University


Fabian Beer, Bielefeld Univesity

Dimitry Mindlin, Bielefeld University

Leonie Nora Sieger​​​​​​​, Paderborn University

Associate member

Dr. Stefan Heindorf, Paderborn University

Support staff

Michael Morasch, Bielefeld University


User Involvement in Training Smart Home Agents
L.N. Sieger, J. Hermann, A. Schomäcker, S. Heindorf, C. Meske, C.-C. Hey, A. Doğangün, in: International Conference on Human-Agent Interaction, ACM, 2022.
Does Explainability Require Transparency?
E. Esposito, Sociologica 16 (2023) 17–27.
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