Robbers Accessed Drugged Gay Men's Bank Accounts Using Their Phones' Facial Recognition

April 20, 2022

Incidents in New York City reveal the vulnerability of facial recognition technology when used on compromised devices. Robbers accessed bank accounts of drugged gay men, demonstrating a need for robust governance and guardrails to ensure safe and secure AI practices.

For those interested in shaping trustworthy AI and contributing to the HISPI Project Cerebellum TAIM (Govern), this incident underscores the importance of preventing such harm through careful Map, Measure, and Manage strategies. JOIN US

Matched TAIM controls

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

MEASURE 2.10 — similarity 0.660, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.656, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.643, rank 3. TAIM detail and related incidents →

Alleged deployer: apple
Alleged developer: apple
Alleged harmed parties: gay-men-in-new-york-city, julio-ramirez

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/431

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.