Incident 1075: La police de la Nouvelle-Orléans aurait utilisé des alertes de reconnaissance faciale en temps réel fournies par Project NOLA, malgré une ordonnance locale.
Description: La police de La Nouvelle-Orléans aurait reçu des alertes de reconnaissance faciale en temps réel d'un réseau de surveillance privé géré par Project NOLA, ce qui aurait conduit à des dizaines d'arrestations. Cette utilisation présumée de la surveillance par intelligence artificielle semble contrevenir à un arrêté municipal de 2022 qui limite la reconnaissance faciale aux enquêtes menées après un incident précis. Il est reproché à la police de ne pas avoir systématiquement divulgué l'utilisation de cette technologie.
Editor Notes: Reconstructing the reported timeline of events: (1) In early 2023, Project NOLA is reported to have installed real-time facial recognition cameras across New Orleans and to have begun sending automated alerts to police. (2) According to reporting, officers made arrests based on these alerts, with some cases reportedly involving nonviolent crimes and limited disclosure of facial recognition use. (3) These uses appear inconsistent with a 2022 city ordinance that restricts facial recognition to violent crime investigations and mandates reporting. (4) In February 2025, The Washington Post submitted public records requests; in April, the police superintendent reportedly ordered the alerts paused. (5) On May 19, 2025, the investigation was published, and officials are now reviewing the program. (This date is set as the incident date for convenience.)
Outils
Nouveau rapportNouvelle RéponseDécouvrirVoir l'historique
Le Moniteur des incidents et risques liés à l'IA de l'OCDE (AIM) collecte et classe automatiquement les incidents et risques liés à l'IA en temps réel à partir de sources d'information réputées dans le monde entier.
Entités
Voir toutes les entitésAlleged: Facial recognition system developers et Dahua Technology developed an AI system deployed by Project NOLA , New Orleans Police Department , Law enforcement et Facial recognition system deployers, which harmed Residents subject to live surveillance in New Orleans , Privacy , People misidentified by facial recognition systems , General public of New Orleans , General public , Arrested individuals in New Orleans , General public of the United States et Biometric data subjects.
Systèmes d'IA présumés impliqués: Watchlist-based facial recognition matching system , Real-time facial recognition alert pipeline to New Orleans Police Department , Project NOLA facial recognition surveillance network , Dahua DSS mobile app , Automated person-tracking via clothing and physical descriptors , Facial recognition systems et AI-enabled decision support systems
Statistiques d'incidents
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Privacy & Security
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Intentional