Alleged Misuse of Internal Software at Dartmouth's Geisel School of Medicine: A Case for Responsible AI in Exam Systems
March 15, 2021
An internal software system at Dartmouth's Geisel School of Medicine has been accused of incorrectly flagging students for cheating during remote exams, potentially using student activity patterns tracked on its learning management platform without their knowledge. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help prevent such harm and ensure safe and secure AI use? JOIN US
- 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.