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

Kadija Ferryman Maxine Mackintosh Marzyeh Ghassemi

N Engl J Med

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.).

Published: August 2023

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http://dx.doi.org/10.1056/NEJMra2214964	DOI Listing

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