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SurveillanceHigh

Police Use of Facial Recognition Software Causes Wrongful Arrests Without Defendant Knowledge

Occurred
Oct 6, 2024
Published
Jun 18, 2025
Source
AI Incident Database

Summary

Police departments across the U.S. have used facial recognition software to identify suspects in criminal investigations, leading to multiple false arrests and wrongful detentions. The software's unreliability, especially in identifying people of color, has resulted in misidentifications that were not disclosed to defendants. In some cases, individuals were unaware that facial recognition played a role in their arrest, violating their legal rights and leading to unjust detentions.

Developers

  • Clearview AI
  • Facial recognition system developers

Deployers

  • West New York PD
  • Police departments
  • Pflugerville PD
  • NYPD
  • Miami PD
  • Jefferson Parish Sheriff’s Office
  • Evansville PD
  • Coral Springs PD
  • Arvada PD
  • Law enforcement
  • Facial recognition system deployers

Harmed parties

  • Quran Reid
  • People misidentified by facial recognition systems
  • Francisco Arteaga
  • General public
  • General public of the United States
  • Privacy
  • Biometric data subjects

Classification

Category confidence: 95%
Severity confidence: 90%

Rationale: Facial recognition misuse by police causing wrongful arrests constitutes surveillance harm with significant legal consequences.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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