Open AccessLack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms
Author(s) -
Roxana Daneshjou,
Mary P. Smith,
Mary Sun,
Veronica Rotemberg,
James Zou
Publication year - 2021
Publication title -
jama dermatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.128
H-Index - 166
eISSN - 2168-6084
pISSN - 2168-6068
DOI - 10.1001/jamadermatol.2021.3129
Subject(s) - medicine , artificial intelligence , machine learning , algorithm , data set , transparency (behavior) , deep learning , medline , triage , computer science , psychiatry , computer security , political science , law
Clinical artificial intelligence (AI) algorithms have the potential to improve clinical care, but fair, generalizable algorithms depend on the clinical data on which they are trained and tested.
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