Related papers: Healthy Distrust in AI systems

Healthy Distrust in AI systems

URL: http://arxiv.org/abs/2505.09747v1
Date: Wed, 14 May 2025 19:13:47 GMT
Title: Healthy Distrust in AI systems
Authors: Benjamin Paaßen, Suzana Alpsancar, Tobias Matzner, Ingrid Scharlau,
Abstract summary: We propose the term "healthy distrust" to describe a justified, careful stance towards certain AI usage practices.<n>We investigate prior notions of trust and distrust in computer science, sociology, history, psychology, and philosophy.
Score: 0.8624680612413766
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Under 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 "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.

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