Apology for Controversial Skin Tone-Adjusting Filter by FaceApp: A Case Study on the Importance of Responsible AI Governance
FaceApp, a popular photo-editing app, has issued an apology for its controversial 'racist' filter that lightened users' skintones. This incident highlights the need for trustworthy and responsible AI governance in our digital world. By adjusting skin tones without explicit user consent, FaceApp demonstrates a lack of respect for user autonomy and privacy. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Are you ready to help shape responsible AI? 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.