Racial Bias in Image Search Algorithm: A Case Study on Google (2016)
March 31, 2016
Exploring the 2016 incident where Google image searches for 'three black teenagers' predominantly displayed mugshot images, contrasting with mostly stock images for 'three white teenagers'. This AI incident highlights potential racial bias in algorithms, underscoring the need for trustworthy AI and reinforcement of Project Cerebellum's mission. Ready to help shape responsible AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
- Alleged deployer
- Alleged developer
- Alleged harmed parties
- minority-groups
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.