53位专家评估105个方向，为AI安全研发指明优先路径。
Expert Survey: AI Reliability & Security Research Priorities
- 基于专家调研构建全面的AI安全研究分类体系
- 首次量化各研究方向的潜在影响力并生成排名
- 适合政策制定者与科研资助方参考决策
本研究对来自105个AI可靠性与安全研究领域的53位专家进行调查，识别出最有望推动战略AI研发投资的研究方向。随着企业致力于开发具备广泛人类级能力的AI系统，亟需加强可靠性与安全性研究，以确保AI效益得以安全、广泛实现，并防止严重危害。该研究是首个在全面分类体系下量化专家优先级，并生成数据驱动的潜在影响排名的研究。这些排名可为资源有效配置于AI可靠性与安全研究提供证据支持。
原文摘要 · Abstract (English)
Our survey of 53 specialists across 105 AI reliability and security research areas identifies the most promising research prospects to guide strategic AI R&D investment. As companies are seeking to develop AI systems with broadly human-level capabilities, research on reliability and security is urgently needed to ensure AI's benefits can be safely and broadly realized and prevent severe harms. This study is the first to quantify expert priorities across a comprehensive taxonomy of AI safety and security research directions and to produce a data-driven ranking of their potential impact. These rankings may support evidence-based decisions about how to effectively deploy resources toward AI reliability and security research.
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