https://ris.uni-paderborn.de 2000-01-01T00:00+00:00 1 weekly https://ris.uni-paderborn.de/record/59917 Paaßen, Benjamin Alpsancar, Suzana Matzner, Tobias Scharlau, Ingrid 2025 nder the slogan of trustworthy AI, much of contemporary AI research is focused on designing AI systems and usage practices that inspire human trust and, thus, enhance adoption of AI systems. However, a person affected by an AI system may not be convinced by AI system design alone---neither should they, if the AI system is embedded in a social context that gives good reason to believe that it is used in tension with a person’s interest. In such cases, distrust in the system may be justified and necessary to build meaningful trust in the first place. We propose the term \emph{healthy distrust} to describe such a justified, careful stance towards certain AI usage practices. We investigate prior notions of trust and distrust in computer science, sociology, history, psychology, and philosophy, outline a remaining gap that healthy distrust might fill and conceptualize healthy distrust as a crucial part for AI usage that respects human autonomy. https://ris.uni-paderborn.de/record/59917 eng info:eu-repo/grantAgreement/EC/438445824 info:eu-repo/semantics/openAccess Paaßen B, Alpsancar S, Matzner T, Scharlau I. Healthy Distrust in AI systems. <i>arXiv</i>. Published online 2025. Healthy Distrust in AI systems info:eu-repo/semantics/preprint doc-type:preprint text http://purl.org/coar/resource_type/c_816b