Students Allegedly Wrongfully Accused of Cheating via Medical School's Internal Software
March 15, 2021
Controversies such as these highlight the importance of trustworthy AI and effective AI governance, particularly in educational settings where safety and fairness are paramount. For those interested in shaping safe and secure AI practices, consider joining Project Cerebellum to help map and manage incidents like this one using the HISPI Project Cerebellum TAIM.
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MEASURE 2.6 — similarity 0.644, rank 1. TAIM detail and related incidents →
- MAP 4.1 — similarity 0.641, rank 2. TAIM detail and related incidents →
- MAP 4.2 — similarity 0.636, rank 3. TAIM detail and related incidents →
- Alleged deployer
- geisel-school-of-medicine
- Alleged developer
- geisel-school-of-medicine's-technology-staff, canvas
- Alleged harmed parties
- sirey-zhang, geisel-school-of-medicine's-students, geisel-school-of-medicine's-professors, geisel-school-of-medicine's-accused-students
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/302
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.