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On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness
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The dynamics between explainability and trust are not well established, and empirical investigations of their relation remain mixed or inconclusive.
“However, the dynamics between explainability and trust are not well established and empirical investigations of their relation remain mixed or inconclusive.”
From Trust, distrust, and appropriate reliance in (X)AI: A conceptual clarification of user trust and survey of its empirical evaluation (2025) · cites this paper as Kastner et al., 2021
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Citations
Cites
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“In this case, there is trustworthiness without actual trust, or failed trust [91].”
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“For instance, providing information about what kind of information will be analyzed within AI-based personnel selection can positively and negatively affect variables that are commonly associated with trust towards intelligent systems (e.g., perceived fairness) [79]–[81].”
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The explainability paradox: Challenges for xAI in digital pathology
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From Responsibility to Reason-Giving Explainable Artificial Intelligence
Baum, K., Mantel, S., Schmidt, E., & Speith, T. (2022) · Philosophy & Technology · doi:10.1007/s13347-022-00510-w · Cited by 103
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AI Trust: Can Explainable AI Enhance Warranted Trust?
de Brito Duarte, R., Correia, F., Arriaga, P., & Paiva, A. (2023) · Human Behavior and Emerging Technologies · doi:10.1155/2023/4637678 · Cited by 52
Metadata
- Authors
- Kastner, L., Langer, M., Lazar, V., Schomacker, A., Speith, T., & Sterz, S.
- Venue
- 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)
- Publisher
- IEEE
- Published
- 2021-09
- Pages
- 169-175
- Cited by
- 61
- References
- 15
- Licence
- Funders
- Volkswagen Foundation
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