Description: 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.
Entités
Voir toutes les entitésAlleged: Unknown spambot creators et scammers developed an AI system deployed by Fraudsters et Financial aid scammers, which harmed students , Professors , Community colleges et Academic staff.
Système d'IA présumé impliqué: Unknown generative AI systems
Statistiques d'incidents
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.
- 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
Rapports d'incidents
Chronologie du rapport
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
Une "Variante" est un incident qui partage les mêmes facteurs de causalité, produit des dommages similaires et implique les mêmes systèmes intelligents qu'un incident d'IA connu. Plutôt que d'indexer les variantes comme des incidents entièrement distincts, nous listons les variations d'incidents sous le premier incident similaire soumis à la base de données. Contrairement aux autres types de soumission à la base de données des incidents, les variantes ne sont pas tenues d'avoir des rapports en preuve externes à la base de données des incidents. En savoir plus sur le document de recherche.
