Facebook Addresses Mislabeling Incident: Responsible AI for Harm Prevention

In a recent incident, Facebook's AI system miscategorized a video of Black men as 'primates'. This unintended consequence underscores the importance of safe and secure AI and responsible AI governance. The company has apologized and pledged to improve its systems to prevent such occurrences. Through JOIN US, you can join us in promoting trustworthy AI by contributing to the HISPI Project Cerebellum TAIM.

Matched TAIM controls

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

MANAGE 4.3 — similarity 0.461, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.460, rank 2. TAIM detail and related incidents →
MEASURE 1.2 — similarity 0.459, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/113

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.