Apology from FaceApp over Controversial Skin-Tone Altering Filter: A Discussion on Responsible AI Governance
FaceApp recently issued an apology for a filter that has been criticized as racist, as it lightens users' skin tones. This incident highlights the importance of safe and secure AI governance and trustworthy AI practices. Join us at Project Cerebellum, where we are building an AI incident database to help prevent harm and establish guardrails for AI development. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US
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.