Apology from Google Over Racist Auto-Tag Incident in Photo App: Emphasizing the Importance of Responsible AI Governance
Google has issued an apology for a racial bias incident in their photo app, where images of black people were auto-tagged incorrectly. This AI incident underscores the need for robust governance and guardrails in AI systems to prevent harm. Join us in shaping trustworthy AI and ensuring safe and secure AI development with Project Cerebellum. 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/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.