概要: 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.
Alleged: Unknown spambot creators と scammers developed an AI system deployed by Fraudsters と Financial aid scammers, which harmed students , Professors , Community colleges と Academic staff.
関与が疑われるAIシステム: Unknown generative AI systems
インシデントのステータス
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
インシデントレポート
レポートタイムライン
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translated-ja-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 col…
バリアント
「バリアント」は既存のAIインシデントと同じ原因要素を共有し、同様な被害を引き起こし、同じ知的システムを含んだインシデントです。バリアントは完全に独立したインシデントとしてインデックスするのではなく、データベースに最初に投稿された同様なインシデントの元にインシデントのバリエーションとして一覧します。インシデントデータベースの他の投稿タイプとは違い、バリアントではインシデントデータベース以外の根拠のレポートは要求されません。詳細についてはこの研究論文を参照してください
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