ProctorU’s Identity Verification and Exam Monitoring Systems Provided Allegedly Discriminatory Experiences for BIPOC Students

June 1, 2020

An identity verification and exam monitoring service used by the University of Toronto, ProctorU, was accused by its students of providing allegedly discriminatory experiences via facial recognition failure to verify passport photos. This disproportionately increased stress levels for Black, Indigenous, and People of Color (BIPOC) students. Such incidents underscore the importance of safe and secure AI practices in governance and the need for Project Cerebellum's AI incident database to map and measure these occurrences for harm prevention.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.10 — similarity 0.693, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.692, rank 2. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.691, rank 3. TAIM detail and related incidents →

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.