SN Technologies Reportedly Lied to a New York State School District about Its Facial and Weapon Detection Systems’ Performance

January 2, 2020

SN Technologies has been accused of misleading Lockport City Schools concerning the efficiency of its AEGIS face and weapon detection systems. The company reportedly downplayed error rates for Black faces and weapon misidentification, raising concerns about safe and secure AI practices.

For those interested in shaping responsible AI governance and enhancing harm prevention through the HISPI Project Cerebellum TAIM (Govern), this incident serves as a crucial example of why it's important to map and measure such incidents to foster accountability and maintain trustworthy AI systems.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.656, rank 1. TAIM detail and related incidents →
MEASURE 4.2 — similarity 0.622, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.620, rank 3. TAIM detail and related incidents →

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.

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