Considering Biased Data as Informative Artifacts in AI-Assisted Health Care

N Engl J Med. 2023 Aug 31;389(9):833-838. doi: 10.1056/NEJMra2214964.

Authors

Kadija Ferryman¹, Maxine Mackintosh¹, Marzyeh Ghassemi¹

Affiliation

¹ From the Johns Hopkins Berman Institute of Bioethics and the Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore (K.F.); Genomics England and the Alan Turing Institute, London (M.M.); and the Department of Electrical Engineering and Computer Science and the Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA (M.G.).

PMID: 37646680
DOI: 10.1056/NEJMra2214964

No abstract available

Publication types

Review

MeSH terms

Artifacts
Artificial Intelligence*
Bias*
Data Interpretation, Statistical*
Delivery of Health Care* / statistics & numerical data
Humans