Reported Use of Purportedly AI-Generated Student Accounts in Online College Courses

June 4, 2024

An adjunct professor at an unspecified community college has raised concerns about potential use of AI-generated student accounts in online art history and art appreciation courses. The suspicious 'students' allegedly submitted peculiar assignments, such as analyses of non-existent artworks and descriptions of sculptures using painting terminology, indicative of a lack of human understanding. Additionally, their engagement with the college portal is reportedly minimal. The professor suspects these AI spambots aim to fraudulently obtain financial aid by remaining enrolled in courses. This incident underscores the importance of responsible AI governance and harm prevention measures. For those interested in shaping the future of trustworthy AI and promoting safe and secure AI practices, join us at HISPI Project Cerebellum TAIM (Govern) to help establish guardrails for AI.

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Matched TAIM controls

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

Alleged deployer
unknown-scammers, financial-aid-scammers
Alleged developer
unknown-spambot-creators, unknown-generative-ai-developers
Alleged harmed parties
students, professors, community-colleges, academic-staff, general-public, epistemic-integrity

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/721

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.