Exam Monitoring Software Disadvantaging BIPOC Students at University of Toronto: An AI Incident Highlighting Need for Safe and Secure AI
This AI incident involving exam monitoring software at the University of Toronto underscores the importance of trustworthy AI. The software seems to disadvantage BIPOC students, demonstrating a clear need for responsible AI governance and guardrails. Join us in our efforts to prevent harm and build a safe and secure AI environment with Project Cerebellum. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). 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.