Police Are Telling ShotSpotter to Alter Evidence From Gunshot-Detecting AI

In a significant development, police departments have asked ShotSpotter, the gunshot-detecting artificial intelligence provider, to modify evidence provided by their system. This request comes amid concerns about the reliability and accuracy of AI in critical contexts, emphasizing the need for responsible AI governance.

Matched TAIM controls

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

MAP 1.6 — similarity 0.586, rank 1. TAIM detail and related incidents →
MAP 4.1 — similarity 0.581, rank 2. TAIM detail and related incidents →
GOVERN 4.3 — similarity 0.571, rank 3. TAIM detail and related incidents →

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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.

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