FaceApp Apologizes for Controversial Skin-Lightening Filter

In a recent incident, FaceApp, a popular photo-editing app, faced backlash over its 'hot' filter which was criticized as being racist due to the tendency of lightening users' skin tones. The filter, intended to make users appear more attractive, has been a source of concern for many who feel it perpetuates harmful stereotypes about beauty and race. This incident underscores the need for responsible AI governance and trustworthy AI models to prevent such harm and promote safety and security in AI applications.

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

MAP 1.6 — similarity 0.463, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.460, rank 2. TAIM detail and related incidents →
MAP 1.1 — similarity 0.456, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/60

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.