HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Exploring Machine Bias: Ensuring Trustworthy AI

Dive into the complexities of machine bias and its impact on trustworthy AI. Learn how Project Cerebellum, with its govern function in HISPI's Trusted AI Model (TAIM), is working to establish guardrails for safe and secure AI. 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.