Assessing healthy distrust in human-AI interaction: interpreting changes in visual attention
T.M. Peters, K. Biermeier, I. Scharlau, Frontiers in Psychology 16 (2026).

Trust, distrust, and appropriate reliance in (X)AI: A conceptual clarification of user trust and survey of its empirical evaluation
R. Visser, T.M. Peters, I. Scharlau, B. Hammer, Cognitive Systems Research (2025).

Interacting with fallible AI: Is distrust helpful when receiving AI misclassifications?
T.M. Peters, I. Scharlau, Frontiers in Psychology 16 (2025).

Explaining Outliers using Isolation Forest and Shapley Interactions
R. Visser, F. Fumagalli, E. Hüllermeier, B. Hammer, in: Proceedings of the European Symposium on Artificial Neural Networks (ESANN), 2025.

Healthy Distrust in AI systems
B. Paaßen, S. Alpsancar, T. Matzner, I. Scharlau, ArXiv (2025).

The Importance of Distrust in AI
T.M. Peters, R.W. Visser, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2023.

cI do not know! but why?d 4 Local model-agnostic example-based explanations of reject
A. Artelt, R. Visser, B. Hammer, Neurocomputing 558 (2023).

Explaining Reject Options of Learning Vector Quantization Classifiers
A. Artelt, J. Brinkrolf, R. Visser, B. Hammer, in: Proceedings of the 14th International Joint Conference on Computational Intelligence, SCITEPRESS - Science and Technology Publications, 2022.

Model Agnostic Local Explanations of Reject
A. Artelt, R. Visser, B. Hammer, in: ESANN 2022 Proceedings, Ciaco - i6doc.com, 2022.