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Uncovering Bias: Analyzing a Racially Biased AI Incident

Explore the repercussions of racial bias in AI systems, shedding light on the importance of responsible AI governance and harm prevention. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US for contributing towards safe and secure AI development.

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/43

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.