TRR 318-2 - Project B01: A dialog-based approach to explaining machine-learning models

Überblick

B01 explores how dialog-based explanations of machine learning (ML) models function in real-world organizational contexts, accounting for organizational structures, roles, and communication styles, focusing on the predictive policing domain. An experimental evaluation showed that dialog-based explanations significantly enhance users’ understanding compared to static ones. In its second phase, the project will develop a modular multi-agent hybrid dialogue architecture to support enhanced monitoring and thus adaptation of the explanation to the specific needs of the user.

Key Facts

Art des Projektes:
Forschung
Laufzeit:
01/2026 - 06/2029

Detailinformationen

Projektleitung

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Externe Projektleitung

Kooperationspartner

Universität Bielefeld

Kooperationspartner

Publikationen

An Ontology of Explanation for Social Explainable Artificial Intelligence
M. Booshehri, H. Buschmeier, P. Cimiano, in: Formal Ontology in Information Systems: Proceedings of the 16th International Conference, IOS Press, Amsterdam, The Netherlands, 2026, pp. 181–198.
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