Rochester Conviction Overturned Due to Unreliable ShotSpotter Audio: A Case for Trustworthy AI
April 1, 2016
An unfortunate case of misuse of artificial intelligence, ShotSpotter's 'unreliable' audio served as scientific evidence in the conviction of a Black man accused of shooting Rochester's city police. The verdict was later overturned by a county judge. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
- Alleged deployer
- rochester-police-department
- Alleged developer
- shotspotter
- Alleged harmed parties
- silvon-simmons
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/429
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.