Exam Monitoring Software Disadvantages Affecting BIPOC Students at the University of Toronto: A Case Study for Safe and Secure AI
This AI incident involving exam monitoring software raises concerns about bias and fairness in AI systems. It maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). The university's use of such technology highlights the need for robust governance frameworks, ensuring harm prevention and trustworthy AI practices. 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.