HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Understanding an AI Duplicate Incident: Implications for Trustworthy AI

April 17, 2021

Dive into the technical aspects of a recent AI duplicate incident, and learn how this maps to the Govern function in HISPI Project Cerebellum's Trusted AI Model (TAIM). Preventing harm through guardrails for AI is crucial. Ready to help shape responsible AI? JOIN US
Alleged harmed parties
Duplicate

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/338

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.