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9 Publications


2025 | Journal Article | LibreCat-ID: 59756
R. Visser, T. M. Peters, I. Scharlau, and B. Hammer, “Trust, distrust, and appropriate reliance in (X)AI: A conceptual clarification of user trust and survey of its empirical evaluation,” Cognitive Systems Research, Art. no. 101357, 2025, doi: 10.1016/j.cogsys.2025.101357.
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2025 | Journal Article | LibreCat-ID: 59755
T. M. Peters and I. Scharlau, “Interacting with fallible AI: Is distrust helpful when receiving AI misclassifications?,” Frontiers in Psychology, vol. 16, 2025, doi: 10.3389/fpsyg.2025.1574809.
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2025 | Preprint | LibreCat-ID: 61159 | OA
T. M. Peters, K. Biermeier, and I. Scharlau, “Assessing healthy distrust in human-AI interaction: Interpreting changes in visual attention.” Center for Open Science, 2025.
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2025 | Conference Paper | LibreCat-ID: 61232
R. Visser, F. Fumagalli, E. Hüllermeier, and B. Hammer, “Explaining Outliers using Isolation Forest and Shapley Interactions,” 2025.
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2025 | Preprint | LibreCat-ID: 59917 | OA
B. Paaßen, S. Alpsancar, T. Matzner, and I. Scharlau, “Healthy Distrust in AI systems,” arXiv. 2025.
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2023 | Conference Paper | LibreCat-ID: 48595
T. M. Peters and R. W. Visser, “The Importance of Distrust in AI,” 2023, doi: 10.1007/978-3-031-44070-0_15.
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2023 | Journal Article | LibreCat-ID: 61301
A. Artelt, R. Visser, and B. Hammer, “‘I do not know! but why?’ — Local model-agnostic example-based explanations of reject,” Neurocomputing, vol. 558, Art. no. 126722, 2023, doi: 10.1016/j.neucom.2023.126722.
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2022 | Conference Paper | LibreCat-ID: 61303
A. Artelt, J. Brinkrolf, R. Visser, and B. Hammer, “Explaining Reject Options of Learning Vector Quantization Classifiers,” 2022, doi: 10.5220/0011389600003332.
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2022 | Conference Paper | LibreCat-ID: 61302
A. Artelt, R. Visser, and B. Hammer, “Model Agnostic Local Explanations of Reject,” 2022, doi: 10.14428/esann/2022.es2022-34.
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