The Importance of Distrust in AI

Peters TM, Visser R (2023)
In: Explainable Artificial Intelligence . Communications in Computer and Information Science, 1903. Cham: Springer : 301-317.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Peters, Tobias M.; Visser, RoelUniBi
Abstract / Bemerkung
In recent years the use of Artificial Intelligence (AI) has become increasingly prevalent in a growing number of fields. As AI systems are being adopted in more high-stakes areas such as medicine and finance, ensuring that they are trustworthy is of increasing importance. A concern that is prominently addressed by the development and application of explainability methods, which are purported to increase trust from its users and wider society. While an increase in trust may be desirable, an analysis of literature from different research fields shows that an exclusive focus on increasing trust may not be warranted. Something which is well exemplified by the recent development in AI chatbots, which while highly coherent tend to make up facts. In this contribution, we investigate the concepts of trust, trustworthiness, and user reliance. In order to foster appropriate reliance on AI we need to prevent both disuse of these systems as well as overtrust. From our analysis of research on interpersonal trust, trust in automation, and trust in (X)AI, we identify the potential merit of the distinction between trust and distrust (in AI). We propose that alongside trust a healthy amount of distrust is of additional value for mitigating disuse and overtrust. We argue that by considering and evaluating both trust and distrust, we can ensure that users can rely appropriately on trustworthy AI, which can both be useful as well as fallible.
Stichworte
XAI; Psychology; Appropriate Trust; Distrust; Reliance; Trustworthy AI
Erscheinungsjahr
2023
Titel des Konferenzbandes
Explainable Artificial Intelligence
Serien- oder Zeitschriftentitel
Communications in Computer and Information Science
Band
1903
Seite(n)
301-317
Konferenz
1st World Conference on Explainable Artificial Intelligence (XAI)
Konferenzort
Lisbon, PORTUGAL
Konferenzdatum
2023-07-26 – 2023-07-28
ISBN
978-3-031-44069-4, 978-3-031-44070-0
ISSN
1865-0929
eISSN
1865-0937
Page URI
https://pub.uni-bielefeld.de/record/2993079

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Peters TM, Visser R. The Importance of Distrust in AI. In: Explainable Artificial Intelligence . Communications in Computer and Information Science. Vol 1903. Cham: Springer ; 2023: 301-317.
Peters, T. M., & Visser, R. (2023). The Importance of Distrust in AI. Explainable Artificial Intelligence , Communications in Computer and Information Science, 1903, 301-317. Cham: Springer . https://doi.org/10.1007/978-3-031-44070-0_15
Peters, Tobias M., and Visser, Roel. 2023. “The Importance of Distrust in AI”. In Explainable Artificial Intelligence , 1903:301-317. Communications in Computer and Information Science. Cham: Springer .
Peters, T. M., and Visser, R. (2023). “The Importance of Distrust in AI” in Explainable Artificial Intelligence Communications in Computer and Information Science, vol. 1903, (Cham: Springer ), 301-317.
Peters, T.M., & Visser, R., 2023. The Importance of Distrust in AI. In Explainable Artificial Intelligence . Communications in Computer and Information Science. no.1903 Cham: Springer , pp. 301-317.
T.M. Peters and R. Visser, “The Importance of Distrust in AI”, Explainable Artificial Intelligence , Communications in Computer and Information Science, vol. 1903, Cham: Springer , 2023, pp.301-317.
Peters, T.M., Visser, R.: The Importance of Distrust in AI. Explainable Artificial Intelligence . Communications in Computer and Information Science. 1903, p. 301-317. Springer , Cham (2023).
Peters, Tobias M., and Visser, Roel. “The Importance of Distrust in AI”. Explainable Artificial Intelligence . Cham: Springer , 2023.Vol. 1903. Communications in Computer and Information Science. 301-317.