Inaccurate ALPR Reading Leads to Unwarranted Traffic Stop: Understanding AI Incidents and the Need for Responsible Governance
April 16, 2014
An instance of misreading by an Automated License Plate Reader (ALPR) camera incorrectly flagged a vehicle as stolen, leading to an unwarranted traffic stop in Kansas City suburbs. This AI incident highlights the importance of trustworthy AI and effective governance through Project Cerebellum's Govern function in the HISPI Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
- Alleged deployer
- prairie-village-police-department
- Alleged developer
- unknown
- Alleged harmed parties
- mark-molner
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/246
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.