Northpointe Risk Models

May 23, 2016

A risk scoring algorithm developed by Northpointe, utilized within the penal system, demonstrates twice the likelihood of misclassifying a black individual as high-risk for reoffending compared to a white individual, according to a ProPublica review. This underscores the importance of responsible AI governance, safe and secure practices, and harm prevention in such systems. The HISPI Project Cerebellum TAIM initiative (Measure) invites you to get involved and contribute to our efforts towards trustworthy AI.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.759, rank 1. TAIM detail and related incidents →
MEASURE 3.1 — similarity 0.739, rank 2. TAIM detail and related incidents →
MAP 3.2 — similarity 0.738, rank 3. TAIM detail and related incidents →

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.