发表机构
Irregular; RAND; Watertight AI; Palo Alto Networks; Prometheus; Redwood Research; The Hoover Institution（Irregular; 兰德公司; Watertight AI; 帕洛阿尔托网络公司; Prometheus; Redwood Research; 胡佛研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文基于多领域专家访谈与研讨会，提出AI安全优先议程，涵盖四大主题，为AI安全领域的协调行动提供实践基础，服务从业者与新进入者。
AI 中文摘要
随着AI系统快速融入关键经济、政府及国家安全功能，AI应用与AI安全准备之间的差距持续扩大。本文基于对产业、政府及民间社会领导者的结构化访谈，并经多部门专家研讨会完善，提出推进AI安全的优先议程。参与者确定并排名了最重要、最具成本效益的领域，以推进AI安全，涵盖保护前沿AI系统及其底层基础设施，以及在AI重塑威胁格局时改进网络安全实践。最终确定的优先级分为四个主题：建立战略基础与政策框架；推进公私协调与制度基础设施；推进技术安全工程与保障；在对抗压力下管控智能体AI。对于每个优先领域，专家作者提供详细分析，明确问题、评估现状并确定各利益相关方可推进的可操作项目。本文旨在为AI安全领域的协调投资与行动提供初始实践基础，通过识别适合不同实力与能力的具体、高影响力贡献，服务于当前从业者及有意进入该领域的个人与组织。
英文摘要
As AI systems are rapidly integrated into critical economic, governmental, and national security functions, the gap between AI adoption and AI security readiness continues to widen. This paper presents a prioritized agenda for advancing AI security, informed by structured interviews with leaders across industry, government, and civil society, and refined through a multi-sector expert workshop. Participants identified and ranked the highest-importance and most cost-effective areas where progress could strengthen AI security - from protecting frontier AI systems and their underlying infrastructure to improving cybersecurity practices as AI reshapes the threat landscape. The resulting priorities are organized across four themes: establishing strategic foundations and policy frameworks; advancing public-private coordination and institutional infrastructure; advancing technical security engineering and assurance; and governing agentic AI under adversarial pressure. For each priority area, expert authors provide detailed analyses that define the problem, assess the current landscape, and identify actionable projects that stakeholders across sectors can pursue. The paper aims to serve as an initial practical foundation for coordinated investment and action across the AI security field. It is designed to serve both current practitioners and individuals and organizations looking to enter the field by identifying concrete, high-impact contributions suited to a range of strengths and capacities.
