Questionable Practices in FaceApp's Racial Filtering

Recent concerns have been raised about the ethnicity filters used by FaceApp, a popular photo-editing app. Critics argue that these filters may perpetuate stereotypes and reinforce harmful racial biases. Despite its popularity, it is crucial to ensure responsible AI practices in applications like FaceApp to promote trustworthy AI and avoid potential harm.

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MAP 1.2 — similarity 0.473, rank 1. TAIM detail and related incidents →
GOVERN 3.1 — similarity 0.461, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.459, rank 3. TAIM detail and related incidents →

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

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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.

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