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负责AI准备指数:跟踪负责人AI的进度和影响的工具.pdf

上传人: 鲁** 编号:615390 2025-03-03 16页 1.52MB

1、IMF|Statistics1Responsible AI Readiness Index:A tool to track the progress and impact of Responsible AI.NOVEMBER 21,2024Liankhankhup GuiteDeputy Director,Indian Economic Service IMF|Statistics2INTRODUCTIONArtificial Intelligence(AI)-transformative force revolutionizing industries,economies,and socie

2、ties worldwide.Optimism for policymakers and regulators while raising concerns on privacy,security,labor markets,and social equity.AI misinformation and disinformation 2nd highest risk for 2024 by the World Economic Forums Global Risk Report 2024The IMF AI Readiness Index 2024 assesses countries pre

3、paredness to adopt and leverage artificial intelligence based on critical factors such as digital infrastructure,human capital,innovation,and regulation.The Government AI Readiness Index,produced by the Oxford Insights group,evaluates countries based on their capacity to implement and benefit from A

4、I technologies.The index assesses governance,infrastructure,innovation capacity,data availability,and education.IMF|Statistics3CHALLENGES WITH CURRENT AI INDICESThe above indexes focus on their foundational capacity and second-generation preparedness.IMF AI readiness index does not capture the exist

5、ence of Responsible AI formulation and its implementation in the legislation of AI Governance.The 4th pillar which attempts to captures regulation and ethics is primarily based on survey of perceptions and not accounting for actual regulations and laws in existenceA limited responsible AI has been a

6、dded to the governance pillar of the Oxford Government AI Readiness Index which assess the number of AI strategy papers published each year,Digital Capacity&AdaptabilityDoesnt exactly capture the process of Responsible AI adoption.IMF|Statistics4FRAMING RESPONSIBLE AI READINESS INDEXA“normative core

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本文介绍了Responsible AI Readiness Index(RARI)的概念和评估结果。RARI是一个多支柱框架,评估了175个国家的AI准备情况,包括AI法律和政策、伦理指南、技能和教育基础设施以及利益相关者参与等方面。研究发现,48%的国家在AI法律/政策/框架方面得分为零,因为没有全面的国家级AI政策/原则/框架。在伦理框架方面,美国、澳大利亚、加拿大等国家得分较高。在AI技能和能力方面,法国、新加坡、英国和美国等国家得分满分。在协作和利益相关者参与方面,澳大利亚和加拿大得分较高。此外,文章还指出了RARI指数的局限性,如数据收集、数据可用性、技术变化和伦理评分的客观性等问题。最后,文章提出了政策建议,包括制定AI法规、加强合作伙伴关系、实施伦理框架、投资AI教育和支持全球合作等。
"AI伦理框架现状如何?" "各国如何应对AI风险与偏见?" "AI教育与人才培养在全球范围内的现状与挑战是什么?"
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