近日，工信部就《国家人工智能产业综合标准化体系建设指南》（征求意见稿）公开征求意见。指南提出，到2026年，我国人工智能产业共性关键技术和应用开发类计划项目形成标准成果的比例将达到60%以上，标准与产业科技创新的联动水平持续提升。同时，新制定国家标准和行业标准50项以上，推动人工智能产业高质量发展的标准体系加快形成。
随着我国人工智能产业的快速发展，标准化建设成为推动产业高质量发展的重要手段。此次征求意见稿的发布，旨在建立健全人工智能产业标准体系，进一步推动我国人工智能产业技术创新和产业发展。根据指南，我国将加强对人工智能产业链各环节的标准制定，包括基础通用、关键技术、产品与服务、应用场景等多个方面。
英文标题：Ministry of Industry and Information Technology accelerates the formation of high-quality artificial intelligence standard system
英文关键词：Artificial Intelligence，Standardization，High-Quality Development
英文新闻内容：Recently，the Ministry of Industry and Information Technology has publicly solicited opinions on the “National Artificial Intelligence Industry Comprehensive Standardization Construction Guideline” ( Draft for Solicitation of Opinions). The guideline proposes that by 2026，the ratio of standard achievements formed by generic key technologies and application development projects in the artificial intelligence industry will reach more than 60%，and the level of interaction between standards and industrial technological innovation continues to improve. Meanwhile，the formulation of 50 new national standards and industry standards will be promoted， accelerating the formation of a high-quality standard system for the development of artificial intelligence industry.
With the rapid development of the artificial intelligence industry in China，standardization construction has become an important means to promote the high-quality development of the industry. The release of the guideline for soliciting opinions aims to establish and improve the standard system of the artificial intelligence industry in China，and further promote the technological innovation and industrial development of the artificial intelligence industry in our country. According to the guideline，China will strengthen the formulation of standards in various links of the artificial intelligence industrial chain，including basic generalization，key technologies，products and services，application scenarios and other aspects.
【来源】https://www.cls.cn/detail/1573273
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