Incident: Bias in Northpointe Risk Models - Harm Prevention and Trustworthy AI
May 23, 2016
The Northpointe risk model, used within the penal system, exhibits unacceptable racial bias, as twice as likely to misclassify black individuals as high-risk reoffenders and white individuals as low-risk. This underscores the need for safe and secure AI, with an emphasis on AI governance and guardrails. Ready to help shape responsible AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
- Alleged deployer
- northpointe
- Alleged developer
- northpointe
- Alleged harmed parties
- accused-people
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/11
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
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.