On Selective, Mutable and Dialogic XAI: a Review of What Users Say about Different Types of Interactive Explanations
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Fewer studies examine how practitioners evaluate criteria such as basic functionality, safety, privacy, or recourse, just as fewer tools exist for this purpose.
“While there are multiple studies on the use of tools for fairness evaluation [54, 70, 119] and explainability [1, 46, 72, 82, 85, 98], fewer studies examine how practitioners evaluate other criteria such as basic functionality [117], safety, privacy, or recourse, just as fewer tools exist for this purpose.”
From Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling (2025) · cites this paper as [85]
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Background'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions
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“Other types of user interaction have been implemented by XAI researchers, such as simulating the black box with new inputs [22, 23, 81], re-confguring the explanation space [47], changing explanations [55, 110], etc.”
BackgroundMethodResultInfluentialAssessing demand for intelligibility in context-aware applications
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- Authors
- Bertrand, A., Viard, T., Belloum, R., Eagan, J. R., & Maxwell, W.
- Affiliations
- LTCI, Telecom Paris, Institut Polytechnique de Paris, France
- Institut Interdisciplinaire de l'Innovation (i3), Télécom Paris, France
- LAMIH, CNRS, UMR 8201, Univ. Polytechnique Hauts-de-France, France and LTCI, Télécom Paris, Institut Polytechnique de Paris, France
- LTCI, Télécom Paris, Institut Polytechnique de Paris, France
- i3, Telecom Paris - Institut Polytechnique de Paris, France
- Venue
- Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2023-04-19
- Pages
- 1-21
- Cited by
- 59
- References
- 22
- Funders
- Agence Nationale de la Recherche (ANR-20-CHIA-0023-01)
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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