HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Examining a Case of Bias in AI - Promoting Trustworthy AI through Project Cerebellum

This case study sheds light on an instance where bias crept into an AI system, underscoring the importance of responsible AI governance and safe and secure AI. Join us in our mission to prevent harm and establish guardrails for AI using the AI incident database within Project Cerebellum's Trusted AI Model (TAIM). This AI incident maps to the Govern function in HISPI Project Cerebellum 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.