HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Examining the COMPAS Recidivism Algorithm: A Case Study in Responsible AI

This AI incident analysis sheds light on the COMPAS recidivism algorithm, emphasizing its impact on justice and highlighting the importance of trustworthy AI. By analyzing this case, we demonstrate the utility of Project Cerebellum's AI governance model for ensuring safe and secure AI systems. Ready to help shape responsible AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/11

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.