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Incidente 721: Fake AI-Generated Students Are Reportedly Enrolling in Online College Classes

Descripción: Reportedly, an adjunct professor at an unspecified community college suspects that some students in his online art history and art appreciation courses are AI-powered spambots. These "students" allegedly submit peculiar assignments, such as analyses of non-existent artworks and descriptions of sculptures using painting terminology. Additionally, their engagement with the college portal is minimal. The professor believes the spambot students aim to fraudulently obtain financial aid by remaining enrolled in courses.
Editor Notes: Please also refer to Incident 1038: Scammers Reportedly Use AI Tools to Impersonate Students and Obtain Federal Aid. While no specific link has been established, the incidents appear to reflect similar patterns of AI-assisted enrollment fraud. They are treated as distinct due to lack of direct evidence connecting them.

Herramientas

Nuevo InformeNuevo InformeNueva RespuestaNueva RespuestaDescubrirDescubrirVer HistorialVer Historial

Entidades

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Alleged: Unknown spambot creators y scammers developed an AI system deployed by Fraudsters y Financial aid scammers, which harmed students , Professors , Community colleges y Academic staff.
Sistema de IA presuntamente implicado: Unknown generative AI systems

Estadísticas de incidentes

ID
721
Cantidad de informes
1
Fecha del Incidente
2024-06-04
Editores
Daniel Atherton
Applied Taxonomies
MIT

Clasificaciones de la Taxonomía MIT

Machine-Classified
Detalles de la Taxonomía

Risk Subdomain

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

4.3. Fraud, scams, and targeted manipulation

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. Malicious Actors & Misuse

Entity

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

AI

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

Informes del Incidente

Cronología de Informes

Incident OccurrenceAI spambots invade community college classroom, professor puzzled
AI spambots invade community college classroom, professor puzzled

AI spambots invade community college classroom, professor puzzled

cybernews.com

AI spambots invade community college classroom, professor puzzled
cybernews.com · 2024

One professor believes that some of his students are actually AI-powered spambots designed to steal valuable resources from community colleges.

As reported via Medium, one adjunct faculty instructor at an unknown community college is having…

Variantes

Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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