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人工智能科普及其问题

On Popularization of Artificial Intelligence
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摘要 人工智能已经成为新时代国家发展和竞争的动力源头,在这一前提下,要更重视人工智能科普。目前社会上对于人工智能的看法受制于传统观念,如将人工智能看作工具、生活中的日常对象,从而导致人们缺乏对人工智能的全面理解。本文从人工智能自身、人工智能与环境、人工智能与人类的关系出发,以透明性、关联性、增强性等概念为基础,提出人工智能科普应分层展开,并改变原有科普观念。分层展开意味着从三个层次出发理解人工智能,透明性是对人工智能机制和原理的普及,对于科学工作者来说较有意义;关联性是人工智能与社会的关系,具有明显的社会价值,与大众密切相关;而增强性强调人类与人工智能的共在关系,对于人类未来应对超级智能的到来意义重大。改变原有科普观念是对人工智能的认知从工具到智能体、从对象到环境的变革,只有这样才能更好实现人工智能指向民生,推动我国新一代人工智能健康发展。 Artificial intelligence has become a driving force for national development and competition in the new era.Given this premise,greater emphasis must be placed on the popularization of artificial intelligence(AI).Currently,societal perceptions of AI are constrained by traditional views,such as seeing AI merely as a tool or a daily object,which leads to a lack of comprehensive understanding of it.This Research explores the relationship between AI,the environment,and humanity,using concepts such as transparency,relevance,and augmentation.It proposes that AI popularization should be stratified and that traditional notions of popularization need to be altered.Stratified popularization means understanding AI from three levels:transparency pertains to the dissemination of AI mechanisms and principles,which is particularly meaningful for scientists;relevance concerns the relationship between AI and society,which holds significant social value and is closely related to the general public;and augmentation emphasizes the co-existence of humans and AI,which is crucial for humanity’s future in dealing with super intelligence.Changing traditional popularization notions involves a cognitive shift regarding AI from a tool to an intelligent entity and from an object to environment.Only in this way can AI be better directed towards public welfare and promote the healthy development of a new generation of AI in China.
作者 杨庆峰 Yang Qingfeng(Institute of Science Ethics and Human Future,Fudan University,Shanghai 200433;School of Philosophy,Fudan University,Shanghai 200433)
出处 《科普研究》 北大核心 2024年第2期32-38,102,103,共9页 Studies on Science Popularization
关键词 人工智能 科普 透明性 关联性 增强性 artificial intelligence science popularization transparency relevance augmentation
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