Disproportionate Deployment of ShotSpotter Sensors: An Unfair Impact on Neighborhoods of Color - Raising Awareness for Safe and Trustworthy AI
May 4, 2012
A report suggests that police departments have deployed ShotSpotter sensors disproportionately in neighborhoods predominantly inhabited by people of color, raising concerns about the safety and fairness of such deployments. The alleged overuse of these sensors has sparked controversy, with instances like the case of Adam Toledo's death under scrutiny. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Are you ready to help shape responsible AI? JOIN US
- Alleged deployer
- kansas-city-police-department, cleveland-division-of-police, chicago-police-department, atlanta-police-department
- Alleged developer
- shotspotter
- Alleged harmed parties
- neighborhoods-of-color, brown-communities, black-communities, adam-toledo
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/257
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.