Translation in progress Some entries still include text in the original language.
Oct 12 · Monday
Another 247 papers do not have category tags yet and are not included in filtered results.
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About this collection Collection in progress We are building a large AI safety paper collection to help researchers find work related to their interests. Papers are collected automatically andfiltered only for relevance to AI safety , without judging quality, novelty or reading value. The default “Annotated first” shows papers with tags or published paper analyses first. Each group is ordered by original publication date, newest first, with undated papers last. “Newest first” uses publication dates only. This order is not a quality ranking.
One-line summaries, tags and paper analyses are prepared by AI from the papers. Language models may have systematic biases and produce hallucinations.We plan to carry out human annotation and review to reduce errors in this content.
提出 k-robust 联盟对齐，刻画误对齐评审下的安全委托授权
Published Sep 15 Abstract 联盟覆盖使无个体对齐的评审面板仍可相对基线安全授权，数值分数改善完备性。委托授权的安全不要求每位评审者对齐，而要求面板在效用空间覆盖委托人。
提出 Gram 审计框架，测量编程与研究智能体的破坏倾向
Published May 29
Evaluated models Gemini 2.5 Pro , Gemini 3.0 Pro Preview , Gemini 3.1 Pro Preview You have reached the end