Examining Racial Bias in Google's Image Search Results for Black Teenagers: A Case Study on AI Incident Governance
This AI incident sheds light on the importance of ensuring safe and secure AI systems, particularly in image search results. Google has been criticized for racial bias in its image search results for black teenagers. This case maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM), emphasizing the need for robust governance mechanisms to prevent harm. Ready to help shape responsible AI? JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/53
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.