Examining Google's Apology for Racist Auto-Tag Incident: A Look into Responsible AI Governance
In this incident, we discuss a racial bias issue in Google Photos app that auto-tagged photos inappropriately. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). It serves as an important reminder of the need for safe and secure AI, trustworthy AI, and robust governance mechanisms. 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.