当前位置:首页 >英文主页 >中英对照 > 报告详情

CSET:2025前沿人工智能(AI)治理:基础假设解构分析报告(英文版)(39页).pdf

上传人: 1****1 编号:1077927 2026-01-21 39页 2.57MB

下载:

1、Issue BriefNovember 2025AI Governance at the FrontierUnpacking Foundational AssumptionsAuthorsMina NarayananJessica JiVikram VenkatramNgor LuongAI Governance at the FrontierUnpacking Foundational AssumptionsAuthorsMina NarayananJessica JiVikram VenkatramNgor LuongCenter for Security and Emerging Tec

2、hnology|1 Executive Summary As artificial intelligence diffuses throughout society,policymakers are faced with the challenge of how best to govern the technology amid uncertainty over the future of AI development.To meet this challenge,many stakeholders have put forth various proposals aimed at shap

3、ing AI governance approaches.This report outlines an analytic approach to help policymakers make sense of such proposals and take steps to govern AI systems while preserving future decision-making flexibility.Our approach involves analyzing common assumptions across various proposals(as these assump

4、tions are foundational elements for the success of multiple proposals),as well as unique assumptions across individual proposals,by answering three questions:1.What risks are important to mitigate and who should have primary oversight of frontier AI?2.Who is delegated tasks and able to play a role?3

5、.Would the proposed mechanisms or tools actually achieve the proposals objectives?We apply this analytic approach to five U.S.-centric AI governance proposals that originate from industry,academia,civil society,and the federal and state governments.These proposals are generally aimed at governing fr

6、ontier AI systems,which possess cutting-edge capabilities and therefore pose some of the most challenging questions for AI governance.Our analysis reveals that most proposals view AI-enabling talent and AI processes and frameworks as important enablers of AI governance.However,proposals lack consens

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
1. **核心目标**:为应对AI治理的不确定性,提出通过分析提案的**共同假设**(如AI人才、流程框架的重要性)和**独特假设**,帮助政策制定者灵活决策。 2. **分析框架**:基于三个关键问题—— - 需缓解的重要风险及主要监督方; - 任务委托方及角色可行性; - 提案机制能否实现目标。 3. **提案共识**:多数提案认为**政府应主导监督**,但**风险缓解技术(如水印、内容溯源)缺乏共识**。 4. **关键行动**:政策制定者可优先投资**共同假设**(如第三方审计、信息共享),推动跨 stakeholder 协作,同时保留决策灵活性。 5. **案例启示**:通过分析5类提案(行业、公民社会、学界、州/联邦政府),揭示治理需平衡**安全与创新**,并关注**计算资源管控**等具体手段。
AI治理如何落地? 谁该主导AI监管? 技术真能防风险吗?
客服
商务合作
小程序
服务号
折叠