比较欧盟、美国、印度和中国的人工智能扫盲政策

IF 6.4 2区 管理学 Q1 COMMUNICATION
Telecommunications Policy Pub Date : 2026-04-01 Epub Date: 2025-12-15 DOI:10.1016/j.telpol.2025.103142
Haoyu Yang , Jinghong Xu , Xianquan Zeng , Xinyang Gu
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引用次数: 0

摘要

随着人工智能成为国家和全球发展战略的核心要素,行为体正在通过培养高技能人才并使公民能够在日常生活中使用人工智能的政策来促进人工智能素养。本研究对来自欧盟、美国、印度和中国的41个人工智能扫盲政策进行了政策比较分析,考察了国内人才培养和国际人才吸引策略的趋同与差异。研究表明,参与者往往遵循类似的途径,包括在高等教育中扩大人工智能和STEM项目,并建立专门的机构以加强内部人才储备。同时,努力将技术和社会技术能力纳入全纳教育,提高全社会的人工智能素养。然而,受劳动力市场饱和、人工智能产业发展和战略定位的影响,人工智能扫盲政策也表现出地区差异。这项研究有助于理解人工智能政策发展的全球轨迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing AI literacy policies in the European Union, the United States, India, and China
As AI becomes a central element of national and global development strategies, actors are promoting AI literacy through policies that foster highly skilled talent and equip citizens to engage with AI in everyday life. This study conducts a comparative policy analysis of 41 AI literacy policies from the EU, US, India, and China, examining convergences and divergences in domestic talent cultivation and international talent attraction strategies. Research indicates that actors often follow similar pathways, including expanding AI and STEM programs in higher education and establishing dedicated institutions to strengthen internal talent reserves. Simultaneously, efforts are made to integrate technical and socio-technical competence into inclusive education, advancing AI literacy across society. Nevertheless, influenced by labor market saturation, AI industry development, and strategic positioning, AI literacy policies also exhibit regional variations. This study contributes to understanding global trajectories in AI policy development.
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来源期刊
Telecommunications Policy
Telecommunications Policy 工程技术-电信学
CiteScore
10.80
自引率
12.50%
发文量
122
审稿时长
38 days
期刊介绍: Telecommunications Policy is concerned with the impact of digitalization in the economy and society. The journal is multidisciplinary, encompassing conceptual, theoretical and empirical studies, quantitative as well as qualitative. The scope includes policy, regulation, and governance; big data, artificial intelligence and data science; new and traditional sectors encompassing new media and the platform economy; management, entrepreneurship, innovation and use. Contributions may explore these topics at national, regional and international levels, including issues confronting both developed and developing countries. The papers accepted by the journal meet high standards of analytical rigor and policy relevance.
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