Chicago Police's Strategic Subject List: A Questionable Algorithm for Safe and Secure AI

August 1, 2012

The Chicago Police Department's Strategic Subject List, an algorithm-driven tool designed to identify potential victims or perpetrators of violence, has reportedly shown ineffectiveness, vulnerability to abuse, and racial bias against low-income communities of color. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to contribute to trustworthy AI harm prevention? JOIN US
Alleged deployer
chicago-police-department
Alleged developer
chicago-police-department
Alleged harmed parties
low-income-communities, communities-of-color, black-chicago-residents

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/433

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.