The DOI matches its Crossref record; 29 of the 31 references it cites were found in a registry or an index.
Artificial intelligence and the value of transparency
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In decision-support settings, such signals can also be derived from occurrences where human controllers reject system predictions (Walmsley, 2021).”
From Contestable AI by Design: Towards a Framework (2022) · cites this paper as Walmsley, 2021
In the citing paper
“The composite and gradient nature of openness can be grounded directly in prior work on openness and accountability in AI systems [29, 37, 42, 58].”
From Rethinking open source generative AI: open washing and the EU AI Act (2024) · cites this paper as [58]
In the citing paper
“Work on AI safety and reproducibility has long pointed out the crucial importance of training data for understanding model performance, ensuring reproducibility, and assessing legal exposure [2, 25, 29, 46, 58].”
From Rethinking open source generative AI: open washing and the EU AI Act (2024) · cites this paper as [58]
Citations
Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,268
Proceedings of the 24th international conference on Machine learning
(2007) · doi:10.1145/1273496 · Cited by 11,869
Epistemic Injustice: Power and the Ethics of Knowing
Fricker, M. (2007) · doi:10.1093/acprof:oso/9780198237907.001.0001 · Cited by 9,198
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., et al. (2018) · Minds and Machines · doi:10.1007/s11023-018-9482-5 · Cited by 4,774
Algorithm aversion: People erroneously avoid algorithms after seeing them err.
Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015) · Journal of Experimental Psychology: General · doi:10.1037/xge0000033 · Cited by 3,232
Algorithm appreciation: People prefer algorithmic to human judgment
Logg, J. M., Minson, J. A., & Moore, D. A. (2019) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2018.12.005 · Cited by 2,061
The accuracy, fairness, and limits of predicting recidivism
Dressel, J., & Farid, H. (2018) · Science Advances · doi:10.1126/sciadv.aao5580 · Cited by 1,071
Dennett, D. C., & The Journal of Philosophy, I. (1971) · Journal of Philosophy · doi:10.2307/2025382 · Cited by 994
'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions
Binns, R., Van Kleek, M., Veale, M., Lyngs, U., Zhao, J., & Shadbolt, N. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173951 · Cited by 691
Research works printed but not linked: 1
- Hempel C (1965) “The Function of General Laws in History” in his aspects of scientific explanation and other essays in the philosophy of science. Free Press, New York
Cited by
Sorted by citations
Schepman, A., & Rodway, P. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2085400 · Cited by 503
Ivanov, S., Soliman, M., Tuomi, A., Alkathiri, N. A., & Al-Alawi, A. N. (2024) · Technology in Society · doi:10.1016/j.techsoc.2024.102521 · Cited by 397
Acosta-Enriquez, B. G., Arbulú Ballesteros, M. A., Huamaní Jordan, O., López Roca, C., & Saavedra Tirado, K. (2024) · BMC Psychology · doi:10.1186/s40359-024-01764-z · Cited by 164
“Therefore, the preservation of data privacy and security is important [11, 68, 69].”
BackgroundRodway, P., & Schepman, A. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100150 · Cited by 144
Contestable AI by Design: Towards a Framework
Alfrink, K., Keller, I., Kortuem, G., & Doorn, N. (2022) · Minds and Machines · doi:10.1007/s11023-022-09611-z · Cited by 169
“In decision-support settings, such signals can also be derived from occurrences where human controllers reject system predictions (Walmsley, 2021).”
Influential
Metadata
- Authors
- Walmsley, J.
- Affiliations
- University College Cork (IE)
- Corresponding author
- Walmsley, Joel
- ORCID
- Walmsley, Joel
- Venue
- AI & SOCIETY
- Published
- 2020-09-08
- Volume
- 36
- Issue
- 2
- Pages
- 585-595
- ISSN
- 0951-5666 (ISSN-L)
- 1435-5655
- OpenAlex
- W3084135104
- Cited by
- 131
- References
- 31
- Citations by year
- 2026: 34 · 2025: 38 · 2024: 26 · 2023: 14 · 2022: 12 · 2021: 6 · 2020: 1
- FWCI
- 11.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- AI & Society (publishedVersion)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion)
- Cork Open Research Archive (University College Cork, Ireland) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- machine learning, big data, epistemology of AI, AI ethics, contestability, accountability, explainability, algorithmic decision-making
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 ›
Are you an author, or do you see a problem with this page? Request a review
