Cross-Jurisdictional Facial Recognition Misidentification by NYPD Leads to Wrongful Arrest and Four-Year Jail Time in New Jersey

November 29, 2019

In 2019, Francisco Arteaga was misidentified by facial recognition technology used by the NYPD, leading to a wrongful arrest and four-year pretrial incarceration in New Jersey. The incident underscores the need for responsible and transparent AI governance, as well as accountability mechanisms that prevent such harm. This case exposed significant gaps in transparency surrounding the use of facial recognition technology by law enforcement.

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Matched TAIM controls

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

MAP 4.1 — similarity 0.648, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.631, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.631, rank 3. TAIM detail and related incidents →

Alleged deployer: west-new-york-pd, nypd, real-time-crime-center
Alleged developer: clearview-ai
Alleged harmed parties: francisco-arteaga

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/816

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

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