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作 者:王挺 邵华胜 王丽慧[1] Wang Ting;Shao Huasheng;Wang Lihui(China Research Institute for Science Popularization,Beijing 100081)
机构地区:[1]中国科普研究所,北京100081
出 处:《科普研究》2024年第5期5-13,24,101,共11页Studies on Science Popularization
基 金:科技创新2030——“新一代人工智能”重大项目:科普资源智能分析与服务关键技术(2022ZD0120200)课题五“科普服务效果评价与示范”(2022ZD0120205)
摘 要:人工智能正引领一场前所未有的技术工具革命,推动科普服务全流程创新。作为灵感激发、内容生成、全天候把关、场景搭建、定位、数据收集、数据处理等工具,人工智能重新塑造了科普创作、审核、传播和评价模式,大幅提升了科普服务的效率、质量、广度、精度和科学性。但基于技术工具的局限,其无中生有的“幻觉”等风险也随之而至,可能冲击科普人员的权威性和主体性,反噬科普服务的根基,不利于加强科普服务价值引领。为此,在科普服务过程中,应增强科普人员对人工智能的认识和使用能力,规范人工智能应用边界,在技术理性之上赋予其价值理性内涵。Artificial intelligence is driving an unprecedented revolution in technological tools and fostering comprehensive innovation in science popularization services.Serving as a tool for inspiration,content generation,round-the-clock monitoring,scene construction,positioning,data collection,and data processing,artificial intelligence has redefined the processes of science popularization creation,review,dissemination,and evaluation.It has significantly enhanced the efficiency,quality,scope,accuracy,and scientific rigor of science popularization services.However,the limitations of technological tools also introduce risks.These include the potential undermining of the authority and agency of science popularization personnel,the erosion of the foundational principles of science popularization services,and challenges to reinforcing their value orientation.Therefore,in the context of science popularization services,it is essential to enhance the understanding and proficiency of science popularization personnel in using artificial intelligence,regulate its application boundaries,and integrate value-driven rationality alongside technical rationality.
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