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Trust in artificial intelligence: From a Foundational Trust Framework to emerging research opportunities
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Passive and indirect stakeholders are mostly ignored by current research on trust in AI.
“it is important to note that passive and indirect stakeholders should also be considered a type of user, something which is mostly ignored by current research on trust in AI (Lukyanenko, Maass, & Storey, 2022).”
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 Lukyanenko, Maass, & Storey, 2022
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Metadata
- Authors
- Lukyanenko, R., Maass, W., & Storey, V. C.
- Venue
- Electronic Markets
- Published
- 2022-11-28
- Volume
- 32
- Issue
- 4
- Pages
- 1993-2020
- ISSN
- 1019-6781
- 1422-8890
- Cited by
- 171
- References
- 28
- Language
- en
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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