Allegations of Racial Bias in Google Image Search Results: A Case Study

Recent reports have surfaced alleging racial bias in Google's image search results for queries involving black teenagers. This incident underscores the need for responsible AI governance and trustworthy practices in AI development to prevent such harm. The HISPI Project Cerebellum TAIM provides a platform for guardrails and measures to ensure safe and secure AI.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.11 — similarity 0.529, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.519, rank 2. TAIM detail and related incidents →
MAP 5.1 — similarity 0.509, rank 3. TAIM detail and related incidents →

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.