Examining Google's Image Search Bias Incident: A Case Study on Responsible AI
This incident highlights the importance of trustworthy AI, where an analysis of image search results for black teenagers demonstrated potential racial bias. The issue underscores the need for safe and secure AI practices. By joining forces with Project Cerebellum, you can contribute to our ongoing efforts in AI governance, helping us build guardrails for AI and maintain a reliable AI incident database. 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/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.