Chicago Police's Strategic Subject List Reportedly Biased Along Racial Lines

August 1, 2012

The Chicago Police Department's (CPD) Strategic Subject List, an algorithm-driven tool intended to identify individuals associated with violence, has been reported as ineffective and susceptible to abuse. The list appears to be biased against low-income communities of color, raising concerns about safe and secure AI practices. JOIN US at HISPI Project Cerebellum TAIM to Govern and address such issues by establishing guardrails for AI.

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Matched TAIM controls

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

MAP 5.1 — similarity 0.710, rank 1. TAIM detail and related incidents →
GOVERN 3.1 — similarity 0.709, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.693, rank 3. TAIM detail and related incidents →

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

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