A dialog-based approach to explaining machine learning models (Project B01)
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.
Publications
Esposito E., eds. (2022). Sociologica Vol. 16 No. 3: https://sociologica.unibo.it/issue/view/1141
Esposito, E. (2022). Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction. Sociologica, 16(3), 1–4. https://doi.org/10.6092/issn.1971-8853/16265
Esposito, E. (2022). Does Explainability Require Transparency?. Sociologica, 16(3), 17–27. https://doi.org/10.6092/issn.1971-8853/15804
Project leaders
Prof. Dr. Philipp Cimiano, Bielefeld University
Prof. Dr. Elena Esposito, Bielefeld University
Prof. Dr. Axel-Cyrille Ngonga Ngomo, Paderborn University
Staff
Fabian Beer, Bielefeld University
Dimitry Mindlin, Bielefeld University
Leonie Nora Sieger, Paderborn University
Associate member
Dr. Stefan Heindorf, Paderborn University