image: Sources of bias that may contribute to health disparities within each step of developing an AI-based algorithm. view more
Credit: Nazer LH et al., 2023, PLOS Digital Health, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
In your coverage, please use this URL to provide access to the freely available article in PLOS Digital Health: https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000278
Article Title: Bias in artificial intelligence algorithms and recommendations for mitigation
Author Countries: Jordan, United States, Canada
Funding: The authors received no specific funding for this work.
Journal
PLOS Digital Health
Method of Research
Commentary/editorial
Subject of Research
Not applicable
COI Statement
Competing interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: Janny Xue Chen Ke: received salary support as Clinical Data Lead, St. Paul’s Hospital, Canada, for Project “Reducing Opioid Use for Pain Management” from Canadian Digital Technology Supercluster and Consortium (Careteam Technologies Inc, Thrive Health Inc, Excelar Technologies, Providence Health Care Ventures Inc, and Xerus Inc.). Ashish K Khanna: Founding member of BrainX LLC & BrainX Community LLC. Piyush Mathur: Founder of BrainX LLC. & BrainX Community LLC.