Human Discovers Amusing Bug in Controversial Facial Recognition Technology

In a recent incident, an individual discovered that a facial recognition software, known for its questionable accuracy and potential biases, misidentified him as a person of another race. The amusing aspect lies in the fact that this is not the first time such errors have occurred with this technology, raising concerns about its reliability and fairness.

Matched TAIM controls

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

MAP 1.6 — similarity 0.494, rank 1. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.477, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.463, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/48

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.