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Incident 302: Students Allegedly Wrongfully Accused of Cheating via Medical School's Internal Software

Description: Dartmouth's Geisel School of Medicine allegedly falsely accused students of cheating during remote exams using an internally built system which tracked student activity patterns without their knowledge on its learning management platform.

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Entities

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Alleged: Geisel School of Medicine's Technology staff and Canvas developed an AI system deployed by Geisel School of Medicine, which harmed Sirey Zhang , Geisel School of Medicine's students , Geisel School of Medicine's professors and Geisel School of Medicine's accused students.

Incident Stats

Incident ID
302
Report Count
1
Incident Date
2021-03-15
Editors
Sean McGregor
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

5.1. Overreliance and unsafe use

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Human-Computer Interaction

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Intentional

Incident Reports

Reports Timeline

Incident OccurrenceOnline Cheating Charges Upend Dartmouth Medical School (Published 2021)
Online Cheating Charges Upend Dartmouth Medical School (Published 2021)

Online Cheating Charges Upend Dartmouth Medical School (Published 2021)

nytimes.com

Online Cheating Charges Upend Dartmouth Medical School (Published 2021)
nytimes.com · 2021

HANOVER, N.H. — Sirey Zhang, a first-year student at Dartmouth’s Geisel School of Medicine, was on spring break in March when he received an email from administrators accusing him of cheating.

Dartmouth had reviewed Mr. Zhang’s online activ…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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