Best Student Paper Award at the International Conference on Design Science Research in Information Systems and Technology (DESRIST) 2024 for DBIS PhD student.

DBIS doctoral student Tobias Jahn, together with Philipp Hühn and Maximilian Förster from the Institute for Business Analytics, received the Best Student Paper Award at the 19th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2024) for his paper "Wasn't Expecting that - Using Abnormality as a Key to Design a Novel User-Centric Explainable AI Method":

Tobias Jahn, Philipp Hühn, Maximilian Förster
Wasn't Expecting That - Using Abnormality as a Key to Design a Novel User-Centric Explainable AI Method
19th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2024)

About the content of the award-winning work: The opacity of AI systems is a major obstacle to their use. Explainable AI (XAI) methods that automatically generate counterfactual explanations for AI decisions can increase user confidence in AI systems. Here, abnormality of explanations is an essential property that is not yet sufficiently taken into account by existing XAI methods. Against this background, a new approach for generating counterfactual explanations based on the abnormality of features was developed as part of this research work. In this paper, the approach was demonstrated in a realistic environment and its effectiveness was subjected to a user test. The results show that the developed approach generates explanations that are both more trustworthy and more helpful in explaining the factual situation.

DESRIST, which was held this year in Trollhättan, Sweden, is both renowned and rich in tradition in the field of business informatics. Different disciplines, united by a focus on design science research, are dealt with in different tracks.