Marketed Claims vs Reality: Examining the Accuracy of SF Gunshot Sensors

This AI incident raises concerns about truthfulness in marketing claims for gunshot sensors, highlighting the importance of responsible AI and trustworthy data. The accuracy of these sensors, while marketed as reliable, has been called into question during courtroom testimony. JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM), emphasizing the need for strong guardrails and harm prevention mechanisms in AI technology.

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.

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.