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人工智能背景下科普出版的融合发展路径研究
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Abstract:
随着科学技术的发展,人工智能已经在各大领域应用。其在科普出版领域的应用也越发广泛,无论是内容创作、编辑校对、媒体融合等都离不开人工智能的帮助。本文分析了人工智能在科普出版的应用现状以及在两者融合过程中所遇到的科学知识错误、知识产权保护、技术自身局限、编辑角色转变的挑战。针对这些问题,分别从技术监测、法律法规、技术成本、人员培养四个方面总结应对途径。提出了加强技术检测力度、建立完整法律标准、技术革新降低门槛、培养复合人才等措施。为科普出版的未来发展提供新路径,为科普出版的转型升级提供新措施。
With the advancement of science and technology, artificial intelligence has been applied in numerous fields. Its application in the domain of popular science publishing is increasingly extensive. Whether it is content creation, editing and proofreading, or media convergence, all rely on the assistance of artificial intelligence. This article analyzes the current application status of artificial intelligence in popular science publishing and the challenges encountered in the integration process of the two, such as errors in scientific knowledge, protection of intellectual property rights, limitations of the technology itself, and the transformation of the editorial role. In response to these issues, countermeasures are summarized in four aspects: technological monitoring, laws and regulations, technological costs, and personnel training. This paper provides new paths for the future development of popular science publishing and new measures for its transformation and upgrading.
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