HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Examining Racial Bias in AI Systems: The Need for Trustworthy AI

This AI incident highlights a concerning issue of racial bias within machine learning systems. Such incidents underscore the importance of trustworthy, responsible AI, and the crucial role Project Cerebellum plays in governance. Our AI incident database provides harm prevention measures and serves as a guide for establishing guardrails for AI. Ready to help shape responsible AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).

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.