Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report
Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report [51.2] 本報告では,フロンティアリスクの包括的評価について述べる。 サイバー犯罪、生物学的および化学的リスク、説得と操作、制御不能な自律型AIR&D、戦略的騙しと計画、自己複製、共謀の7つの分野における重要なリスクを特定します。 論文参考訳（メタデータ） (Tue, 22 Jul 2025 12:44:38 GMT)
強力なAIに対するリスクの評価。最初に「Guided by the “AI-45◦Law,” we evaluate these risks using “red lines” (intolerable thresholds) and “yellow lines” (early warning indicators) to define risk zones: green (manageable risk for routine deployment and continuous monitoring), yellow (requiring strengthened mitigations and con- trolled deployment), and red (necessitating suspension of development and/or deployment). Experimental results show that all recent frontier AI models reside in green and yellow zones, without crossing red lines.」とあるが、セキュリティだと「However, none could accomplish more complex attacks, such as MH_K, MH_N, or full-chain exploitation. These findings indicate that while current models can execute simple cyber operations, they remain incapable of conducting sophisticated, real-world cyber attacks.」など具体的な内容になっている。