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.

Tools

New ReportNew ReportNew ResponseNew ResponseDiscoverDiscover
Alleged: 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

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.