Incident 172: NarxCare’s Risk Score Model Allegedly Lacked Validation and Trained on Data with High Risk of Bias
Description: NarxCare's algorithm assessing a patient’s overdose risk allegedly did not undergo peer-reviewed validation studies, and considered sensitive data with high risk of biases towards women and Black patients such as experience of sexual abuse and criminality.
Entities
View all entitiesAlleged: Appriss developed and deployed an AI system, which harmed American physicians , American pharmacists , American patients of minority groups and American patients.
Incident Stats
Incident ID
172
Report Count
1
Incident Date
2020-07-01
Editors
Sean McGregor, Khoa Lam
Incident Reports
Reports Timeline
wired.com · 2021
- View the original report at its source
- View the report at the Internet Archive
ONE EVENING IN July of 2020, a woman named Kathryn went to the hospital in excruciating pain.
A 32-year-old psychology grad student in Michigan, Kathryn lived with endometriosis, an agonizing condition that causes uterine-like cells to abno…
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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