Apology for Controversial Skin-Toning Filter by FaceApp: A Step Towards Responsible AI Governance

FaceApp, the popular photo-editing app, has issued an apology following backlash over a controversial feature. The filter in question, accused of promoting racial bias, altered users' skin tones, particularly lightening them. This incident underscores the importance of AI governance and trustworthy AI practices to prevent potential harm. By addressing this issue, FaceApp takes a step towards upholding safe and secure AI principles within their platform.

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MAP 1.6 — similarity 0.475, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.474, rank 2. TAIM detail and related incidents →
MEASURE 2.11 — similarity 0.472, 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.