---
res:
  bibo_abstract:
  - 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.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Benjamin
      foaf_name: Paaßen, Benjamin
      foaf_surname: Paaßen
  - foaf_Person:
      foaf_givenName: Suzana
      foaf_name: Alpsancar, Suzana
      foaf_surname: Alpsancar
      foaf_workInfoHomepage: http://www.librecat.org/personId=93637
  - foaf_Person:
      foaf_givenName: Tobias
      foaf_name: Matzner, Tobias
      foaf_surname: Matzner
      foaf_workInfoHomepage: http://www.librecat.org/personId=65695
  - foaf_Person:
      foaf_givenName: Ingrid
      foaf_name: Scharlau, Ingrid
      foaf_surname: Scharlau
      foaf_workInfoHomepage: http://www.librecat.org/personId=451
    orcid: 0000-0003-2364-9489
  dct_date: 2025^xs_gYear
  dct_language: eng
  dct_title: Healthy Distrust in AI systems@
...