HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Exam Monitoring Software Disadvantages Affecting BIPOC Students at University of Toronto - An Issue in Safe and Secure AI

This AI incident highlights potential biases in exam monitoring software, adversely impacting BIPOC students at the University of Toronto. It underscores the need for trustworthy AI governance to prevent harm. 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/140

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.