提出以社会成果为核心的AI治理框架，推动政策从技术导向转向以人为本。
A Social Outcomes and Priorities centered (SOP) Framework for AI policy
- 构建社会成果优先的AI政策框架，强调以公众福祉为核心
- 提出可落地的政策组件设计，增强治理的前瞻性与系统性
- 适合政策制定者、科技伦理研究者及公共治理从业者参考
人工智能在各领域的快速发展亟需建立有效的风险管控机制和公平受益的保障体系。当前以技术为中心的治理模式导致政策碎片化、反应滞后且成效有限。本文强调必须转向以社会为中心的治理范式，提出社会成果与优先事项（SOP）框架，涵盖政策实施的关键组成部分。尽管框架基于美国视角，但其核心理念具有全球适用性，旨在推动形成全面、连贯、前瞻性的AI治理体系。
原文摘要 · Abstract (English)
Rapid developments in AI and its adoption across various domains have necessitated a need to build robust guardrails and risk containment plans while ensuring equitable benefits for the betterment of society. The current technology-centered approach has resulted in a fragmented, reactive, and ineffective policy apparatus. This paper highlights the immediate and urgent need to pivot to a society-centered approach to develop comprehensive, coherent, forward-looking AI policy. To this end, we present a Social Outcomes and Priorities centered (SOP) framework for AI policy along with proposals on implementation of its various components. While the SOP framework is presented from a US-centric view, the takeaways are general and applicable globally.
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