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CSET:2025协调人工智能指导方针:自愿性标准与最佳实践统一框架研究报告(英文版)(79页).pdf

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1、Issue BriefSeptember 2025Harmonizing AI GuidanceDistilling Voluntary Standards and Best Practices into a Unified FrameworkAuthorsKyle CrichtonAbhiram Reddy Jessica JiAli CrawfordMia HoffmannColin Shea-Blymyer John BansemerHarmonizing AI GuidanceDistilling Voluntary Standards and Best Practices into

2、a Unified FrameworkAuthorsKyle CrichtonAbhiram Reddy Jessica JiAli CrawfordMia HoffmannColin Shea-Blymyer John Bansemer Center for Security and Emerging Technology|1 Executive Summary Organizations looking to develop or deploy artificial intelligence(AI)systems face many barriers in trying to operat

3、ionalize AI-related best practices.In addition to the many practical hurdles to implementation,such as a lack of resources or in-house expertise,the complex landscape of existing AI guidance itself presents a substantial challenge.Organizations face an overload of information,coming from a myriad of

4、 disparate sources,that is often written in language that can be inaccessible to many organizations.This places an enormous burden on practitioners to sort through and decipher this guidance on their ownrequiring time,resources,and expertise that many organizations,particularly smaller ones,cannot a

5、fford.To address these challenges,the researchers at CSET have attempted to do this intensive work for organizations.In this report,we present a harmonized framework for how an organization should govern,manage,and protect its technologyand how to integrate emerging technologies such as artificial i

6、ntelligence into its existing practices.This work distills more than 7,000 recommendations,collected from 52 different guidance documents,into a condensed set of 258 recommendations.These recommendations are grouped into 5 overarching categories and 34 topic areas,enabling organizations to quickly i

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根据《Center for Security and Emerging Technology》的报告,以下是对全文主要内容的简明概括: - **挑战与需求**:组织在实施人工智能(AI)最佳实践时面临诸多障碍,包括资源不足、缺乏专业知识以及信息过载。 - **研究方法**:研究人员分析了52份指导文件,提炼出7,741条建议,最终浓缩为258条建议,分为5大类和34个主题。 - **框架结构**:框架涵盖治理、安全、隐私、检测与响应等五大类,旨在帮助组织整合AI技术。 - **核心数据**:258条建议,5大类,34个主题,覆盖7,741条原始建议。 - **验证结果**:通过聚类分析和定性编码,确保了建议的准确性、代表性和完整性。 - **未来工作**:后续报告将提供实施细节和针对特定用例的定制化建议。
破解信息迷雾" "258条AI实践,你get了吗?" "AI治理,从这258条开始!"
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