Avoiding bias in artificial intelligence-Reference-Cited by-同舟云学术

Avoiding bias in artificial intelligence

Published:2023-01-26 Issue:3 Volume:13 Page:193-195
ISSN:2042-6976
Container-title:International Forum of Allergy & Rhinology
language:en
Short-container-title:Int Forum Allergy Rhinol

Author:

Gudis David A.¹^ORCID,McCoul Edward D.²^ORCID,Marino Michael J.³,Patel Zara M.⁴^ORCID

Affiliation:

1. Department of Otolaryngology–Head & Neck Surgery Columbia University Irving Medical Center New York New York USA

2. Department of Otorhinolaryngology Ochsner Clinic New Orleans Louisiana USA

3. Department of Otolaryngology–Head & Neck Surgery Mayo Clinic Phoenix Arizona USA

4. Department of Otolaryngology–Head & Neck Surgery Stanford University School of Medicine Palo Alto Stanford California USA

Publisher

Wiley

Subject

Otorhinolaryngology,Immunology and Allergy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/alr.23129

Reference14 articles.

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2. A blot on the profession

3. Machine Bias.ProPublica. May 23 2016. Accessed January 6 2023.https://www.propublica.org/article/machine‐bias‐risk‐assessments‐in‐criminal‐sentencing

4. Dissecting racial bias in an algorithm used to manage the health of populations

5. Race in Rhinology Clinical Trials: A Decade of Disparity

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