Apology from Google over Racially Biased Auto-Tagging Incident in Photo App - Emphasizing Trustworthy AI
Google recently acknowledged an incident involving racially biased auto-tagging in its photo application. This AI incident highlights the necessity for trustworthy and responsible AI, underscoring the importance of safe and secure AI solutions like Project Cerebellum's AI governance model. Incidents such as this map to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/16
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.