Examining AI Bias: Racial Disparity in Google Image Search Results for Black Teenagers – A Case Study
This case study highlights the potential racial bias in Google's image search results, focusing on searches for black teenagers. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). It underscores the importance of responsible AI governance and the need for trustworthy AI that minimizes such disparities. 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.