Assessing the Reliability of ShotSpotter Systems: False Positives and Wasted Resources
October 9, 2012
The ShotSpotter algorithmic system, designed to locate gunshots, has been criticized by police departments for its high false positive rate and waste of resources. Consequently, these systems are increasingly being discontinued due to their unreliability.
- Alleged deployer
- troy-police-department, syracuse-police-department, san-francisco-police-department, san-antonio-police-department, new-york-city-police-department, fall-river-police-department, chicago-police-department
- Alleged developer
- shotspotter
- Alleged harmed parties
- troy-residents, troy-police-department, syracuse-residents, syracuse-police-department, san-francisco-residents, san-francisco-police-department, san-antonio-residents, san-antonio-police-department, new-york-city-residents, new-york-city-police-department, fall-river-residents, fall-river-police-department, chicago-residents, chicago-police-department
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/112
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.