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国际劳工组织:2023生成式AI和工作报告:对工作效率和质量的潜在影响的全球分析(中译版)(55页).pdf

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1、 XGenerative AI and Jobs:A global analysis of potential effects on job quantity and qualityAuthors/Pawe Gmyrek,Janine Berg,David Bescond August/2023ILO Working Paper 96Copyright International Labour Organization 2023This is an open access work distributed under the Creative Commons Attribution 4.0 I

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3、k.Attribution The work must be cited as follows:Gmyrek,P.,Berg,J.,Bescond,D.Generative AI and Jobs:A global analysis of potential effects on job quantity and quality.ILO Working Paper 96.Geneva:International Labour Office,2023.Translations In case of a translation of this work,the following disclaim

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本文主要研究了生成式人工智能(GPT)对全球就业的影响。主要内容包括: 1. 利用GPT-4模型评估了不同职业和任务对GPT技术的潜在暴露程度,并估计了这种暴露对全球就业数量和质量的可能影响。 2. 结果显示,只有文职工作这一广泛职业对技术高度暴露,24%的文职任务被认为高度暴露,另外58%具有中等暴露程度。 3. 其他职业群体中,高度暴露任务的比例在1%至4%之间波动,中等暴露任务不超过25%。 4. 因此,该技术对工作的最大影响可能是增强工作,即在职业内部自动化某些任务,同时留出时间处理其他职责,而不是完全自动化职业。 5. 潜在的就业影响,无论是增强还是自动化,因国家收入组的不同而差异很大,由于不同的职业结构。 6. 在低收入国家,只有0.4%的总体就业可能受到自动化影响,而在高收入国家,这一比例上升到5.5%。 7. 影响高度性别化,受自动化影响的妇女比例是男性的两倍多。 8. 然而,这种影响没有考虑到基础设施限制,这将阻碍低收入国家使用这种技术,并可能增加生产力差距。
生成式AI对就业影响几何? 哪些职业最易受AI影响? AI如何改变工作性质?
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