Discriminatory Experiences Reported in ProctorU's Identity Verification System: A Concern for Trustworthy AI
June 1, 2020
An exam monitoring service, ProctorU, used by the University of Toronto allegedly provided discriminatory check-in experiences via its facial recognition system. The failure to verify passport photos disproportionately impacted BIPOC students, increasing stress levels and highlighting the need for safe and secure AI. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help ensure harm prevention and establish guardrails for AI? JOIN US
- Alleged deployer
- university-of-toronto
- Alleged developer
- proctoru
- Alleged harmed parties
- university-of-toronto-bipoc-students
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.