Exam Monitoring Software Disadvantages for BIPOC Students at the University of Toronto: An AI Incident
This AI incident highlights potential disadvantages faced by Black, Indigenous, and People of Color (BIPOC) students using exam monitoring software at the University of Toronto. Understanding these issues is crucial for safe and secure AI governance, promoting trustworthy AI practices, and preventing harm in such contexts. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
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.