概要: 2021年から2025年にかけて、カリフォルニア州のコミュニティカレッジでは不正な出願が急増し、現在では全出願数の34%に上ると推定されています。報告によると、詐欺師はChatGPTなどの生成AIツールを用いて本人確認用の回答を作成し、学生になりすまして奨学金を獲得していました。この不正行為により、過去1年間だけで1,300万ドル以上の損失が発生し、管理・教育システムに負担がかかり、正当な出願者を失う事態に至ったとされています。
Editor Notes: See also Incident 721: Fake AI-Generated Students Are Reportedly Enrolling in Online College Classes. 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 generative AI developers と OpenAI developed an AI system deployed by Unknown scammers と Scammers targeting California community colleges, which harmed U.S. taxpayers , Financial aid recipients , California community colleges , California community college students , California community college faculty , students , Community college students と Educational communities.
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
Human
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