HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Misunderstood Algorithmic Termination: Ensuring Safe and Secure AI

Incident involving an inexplicable algorithm-driven dismissal raises concerns about trustworthy AI governance. The HISPI Project Cerebellum's Trusted AI Model (TAIM) emphasizes on understanding and addressing such incidents, as this 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/35

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.