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Evolv AI Weapons Detection System Allegedly Misrepresents Accuracy, Leading to School Security Gaps

AI Incident Database · article · Aug 26, 2022 · UTC

Evolv's AI-powered weapons scanners were advertised as superior to metal detectors but reportedly failed to detect actual weapons while generating excessive false positives. The FTC alleged that misleading claims about the system's accuracy and speed contributed to schools relying on unreliable detection, with at least one incident in October 2022 involving a missed knife that resulted in a student being stabbed.

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recordType
incident-report
evidenceStatus
reported
region
Global

Reported occurrence date: 2022-03-22T00:00:00.000Z

Evidence & attribution

AI Incident Database, Responsible AI Collaborative; McGregor (2021), Preventing Repeated Real World AI Failures by Cataloging Incidents. Incident-specific contributor credits are available at each citation link. Metadata adapted; article text excluded.

License: CC BY-SA 4.0

First collected: 2026-09-19T22:50:59.123Z. This is not the publication date.

Observed changes

AIIC observation times, not verified publisher revision times. Up to eight recent revisions.

2026-09-20T23:22:28.549Z

  • publishedAt: Not provided2022-08-26T00:00:00.000Z