Alleged Bias in Kidney Testing Method: eGFR and Its Impact on Black Patients - A Cautionary Tale for Responsible AI

March 16, 1999

The decades-long use of the estimated glomerular filtration rate (eGFR) method to test kidney function, which includes race as a factor, has been criticized for its racially biased history and inaccuracy towards Black patients. This incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).JOIN US. Let's work together to promote trustworthy AI and safeguard against such incidences.
Alleged deployer
chronic-kidney-disease-epidemiology-collaboration
Alleged developer
chronic-kidney-disease-epidemiology-collaboration
Alleged harmed parties
black-patients, african-american-patients

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/79

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

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