摘要
近年来,以机器学习为核心的人工智能技术迅速发展,应用领域日趋广泛,这给人工智能产业标准化工作提出了更高的要求。本文针对人工智能产业全链条进行分析与研究,根据人工智能标准现状及需求建立了基于关键要素的人工智能标准体系框架。同时,根据人工智能技术的发展特点及社会、市场的需求对今后的标准研制工作提出了建议。
In recent years, artificial intelligence technology with machine learning as the core has developed rapidly and its application fields have become more and more extensive, putting forward higher requirements for the standardization of AI industry. This paper analyzes and studies the whole chain of AI industry, and establishes the framework of AI standard system based on key elements according to the status qno and requirements of AI standard, proposing suggestions for the future standard research and development, according to the characteristics of the development of AI technology and the needs of the society and the market.
作者
雷静
王佳胜
LEI Jing;WANG Jia-sheng(Guangdong Institute of Standardizatio)
出处
《标准科学》
2018年第11期68-72,共5页
Standard Science
基金
广东省科技厅科技项目"无人智能技术产业研究与技术发展规划"(项目编号:2017A010106004)
广东省质量技术监督局科技项目"无人智能技术标准体系规划和路线图研究"(项目编号:2017ZPB02)研究成果