Alleged Misrepresentation of Performance by SN Technologies in Facial and Weapon Detection Systems: Impact on Trustworthy AI
January 2, 2020
SN Technologies is under scrutiny for reportedly misleading Lockport City Schools regarding the performance of its AEGIS face and weapons detection systems. The company allegedly downplayed error rates particularly for Black faces and weapon misidentification, raising concerns about responsible AI governance and harm prevention. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help ensure safe and secure AI? JOIN US
- Alleged deployer
- lockport-city-school-district
- Alleged developer
- sn-technologies
- Alleged harmed parties
- black-students
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/214
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.