HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Understanding and Mitigating Machine Bias: A Key Step Towards Trustworthy AI

Explore the challenges posed by machine bias in AI systems, and learn how we can develop safe and secure AI through the HISPI Project Cerebellum Trusted AI Model (TAIM). This AI incident maps to the Govern function within our model. Ready to help shape responsible AI? JOIN US

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/54

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.