HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Analyzing the COMPAS Recidivism Algorithm: A Case Study on Trustworthy AI

In this article, we delve into the analysis of the controversial COMPAS recidivism algorithm. This investigation underscores the importance of trustworthy AI and its role in preventing harm. The findings map to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).Ready to contribute to responsible AI governance? JOIN US

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.