Bias in Search Results: The Impact of Race on Google's Algorithm

An interesting study by the University of Washington reveals racial bias in Google search results when queries involve Black individuals. The study compared search results for terms like 'Three Black Teens' and 'Three White Teens', revealing significant disparities. This raises concerns about responsible AI and the need for robust governance to ensure fairness, transparency, and safety in AI systems.

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GOVERN 3.1 — similarity 0.504, rank 1. TAIM detail and related incidents →
MAP 3.1 — similarity 0.491, rank 2. TAIM detail and related incidents →
MAP 1.3 — similarity 0.485, rank 3. TAIM detail and related incidents →

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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

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