HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Unreliable Reward Systems in AI: A Case Study for Safe AI Development

Explore a recent AI incident involving faulty reward functions, emphasizing its importance in ensuring safe and trustworthy AI. This incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Harm prevention is key in building guardrails for responsible AI. Ready to help shape AI governance? JOIN US

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/65

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.