The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Artificial intelligence in a crisis needs ethics with urgency
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In the citing paper
“This excerpt directly ties into the discussion of the reliability of GenAI-based tools, especially when it comes to making decisions in both ordinary and crisis situations (Tzachor et al., 2020).”
From Exploring the Challenges of Generative AI on Public Sector Communication in Europe (2025) · cites this paper as Tzachor et al., 2020
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Citations
Cites
Wynants, L., Van Calster, B., Bonten, M. M., Collins, G. S., Debray, T. P., De Vos, M., Haller, M. C., Heinze, G., Moons, K. G., Riley, R. D., et al. (2020) · doi:10.1101/2020.03.24.20041020 · Cited by 3,070
Research works printed but not linked: 12
- van der Schaar, M. et al. Preprint at http://www.vanderschaar-lab.com/NewWebsite/covid-19/post1/paper.pdf (2020).
- Wang, S. et al. Preprint at https://doi.org/10.1101/2020.02.14.20023028 (2020). · DOI
- Butt, C., Gill, J., Chun, D. & Babu, B. A. Appl. Intell. https://doi.org/10.1007/s10489-020-01714-3 (2020). · DOI · Paper page
- Zhang, H. et al. Preprint at https://doi.org/10.20944/preprints202002.0061.v1 (2020). · DOI
- Ienca, M. & Vayena, E. Nat. Med. 26, 463–464 (2020). · DOI · Paper page
- Wynants, L. et al. BMJ 369, m1328 (2020). · doi:10.1136/bmj.m1328 · Paper page
- Nyrup, R., Whittlestone, J. & Cave, S. Why Value Judgements Should Not Be Automated (Leverhulme Centre for the Future of Intelligence, 2019); https://doi.org/10.17863/CAM.41552 · doi:10.17863/cam.41552
- Whittlestone, J., Nyrup, R., Alexandrova, A. & Cave, S. In Proc. 2019 AAAI/ACM Conf. AI, Ethics, and Society 195–200 (ACM, 2019).
- d’Aquin, M. et al. In Proc. 2018 AAAI/ACM Conf. AI, Ethics, and Society 54–59 (ACM, 2018).
- Lyons, J. B., Clark, M. A., Wagner, A. R. & Schuelke, M. J. AI Mag. 38(3), 37–49 (2017). · DOI
- O’Malley, P., Rainford, J. & Thompson, A. Bull. World Health Organ. 87, 614–618 (2009). · DOI
- Brundage, M. et al. Preprint at https://arxiv.org/abs/2004.07213 (2020). · arXiv
Cited by
Synthetic data in machine learning for medicine and healthcare
Chen, R. J., Lu, M. Y., Chen, T. Y., Williamson, D. F. K., & Mahmood, F. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00751-8 · Cited by 728
Enhancing trust in AI through industry self-governance.
Roski, J., Maier, E. J., Vigilante, K., Kane, E. A., & Matheny, M. E. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocab065 · Cited by 83
A multi-stakeholder ethical framework for AI-augmented HRM
Prikshat, V., Patel, P., Varma, A., & Ishizaka, A. (2022) · International Journal of Manpower · doi:10.1108/ijm-03-2021-0118 · Cited by 57
Exploring the Challenges of Generative AI on Public Sector Communication in Europe
Lovari, A., & De Rosa, F. (2025) · Media and Communication · doi:10.17645/mac.9644 · Cited by 22
Forja-Pena, T., García-Orosa, B., & López-García, X. (2024) · Social Sciences · doi:10.3390/socsci13080403 · Cited by 14
Metadata
- Authors
- Tzachor, A., Whittlestone, J., Sundaram, L., & hÉigeartaigh, S. Ó.
- Venue
- Nature Machine Intelligence
- Published
- 2020-06-22
- Volume
- 2
- Issue
- 7
- Pages
- 365-366
- ISSN
- 2522-5839
- Cited by
- 43
- References
- 1
- Language
- en
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Funders
- Leverhulme Trust (RC-2015-067)
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.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
