A community college professor suspects that one-third of students in his online Art History course are AI-powered spambots designed to fraudulently collect financial aid by submitting assignments with characteristic AI hallucinations and unusual portal engagement patterns.
An adjunct faculty instructor at an unknown community college teaching online Art History and Art Appreciation courses reported suspicions that approximately one-third of his students are AI-powered spambots rather than real students. The professor bases this assessment on several factors: assignments containing obvious AI hallucinations such as descriptions of non-existent artists and artworks, inappropriate analysis language (describing sculptures using painting terminology like 'delicate brushstrokes' and mentioning colors that don't exist), unusually low engagement time on the college portal, and fractured assignment upload patterns inconsistent with human behavior. The professor believes these spambots are designed to defraud the education system by maintaining enrollment long enough to collect financial aid payments rather than actually learning course material. The instructor responded by marking the suspected bots as non-attending students and reporting them through the college's spam reporting system. The scale appears limited to this single summer course, though the professor mentions warnings from other faculty about similar spambot activity.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
Using AI systems to gain a personal advantage over others such as through cheating, fraud, scams, blackmail or targeted manipulation of beliefs or behavior. Examples include AI-facilitated plagiarism for research or education, impersonating a trusted or fake individual for illegitimate financial benefit, or creating humiliating or sexual imagery.
AI system
Due to a decision or action made by an AI system
Intentional
Due to an expected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed