HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Thousands Accused of Fraud by Discriminatory AI Algorithm: A Case for Responsible AI Governance

Explore the consequences of a biased algorithm, learn how such incidents map to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). This case highlights the importance of trustworthy, 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/101

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.