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人工智能与期刊发展融合的机遇、挑战和实践路径研究 被引量:21

Opportunities,challenges,and practical paths for the convergence of artificial intelligence and journal development
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摘要 【目的】探讨人工智能与期刊发展融合的机遇和挑战,以期构建二者融合的实践路径。【方法】在问题导向下,打破学科壁垒,从信息学、系统学、伦理学、法学角度,以综合调查法、文献分析法等研究人工智能与期刊发展的融合。【结果】人工智能与期刊发展融合的机遇主要表现在政治支持、技术支持、观念支持和行为支持4个方面,而挑战则来自技术和伦理。为更好地实现人工智能与期刊发展的深度融合,应正确理解人工智能在期刊发展中的"双刃剑"属性,借鉴国外先进经验,坚持"问题意识—占有数据—制定算法"的问题解决进路,构建"系统平衡、伦理平衡、干预平衡"的规约保障机制。【结论】人工智能技术与期刊发展融合涉及技术与伦理的双重共振与重构,是行业发展的大势所趋。 [Purposes] This paper aims to explore the opportunities and challenges of the convergence of artificial intelligence and journal development,and construct a practical path for the convergence of them.[Methods] Under the guidance of problem,we should break the barriers of disciplines,and study the convergence of artificial intelligence and journal development from the perspectives of informatics,systems science,ethics,and lawwith comprehensive investigation method and literature analysis method.[Findings] The opportunities for the convergence of artificial intelligence and journal development are mainly due to the political support,technical support,conceptual support,and behavioral support,while the challenges come from technology and ethics. In order to better realize the deep convergence of artificial intelligence and journal development,it is necessary to correctly understand the"double-edged sword"attribute of artificial intelligence in the development of journals,learn from foreign advanced experience,adhere to the problem solving of "problem awareness-possession of data-formulating algorithms",and establish a statute guarantee mechanism of "system balance,ethical balance,and intervention balance".[Conclusions] The convergence of artificial intelligence and journal development involves the dual resonance and reconstruction of technology and ethics,which is the general trend of industry development.
作者 陈鸿 刘育猛 裴孟 CHEN Hong;LIU Yumeng;PEI Meng(Editorial Office of Journal of Changzhou University,21 Middle Gehu Road,Wujin District,Changzhou 213164,China;Organization Department of Changzhou University,21 Middle Gehu Road,Wujin District,Changzhou 213164,China;School of Environmental & Safety Engineering,Changzhou University,21 Middle Gehu Road,Wujin District,Changzhou 213164,China)
出处 《中国科技期刊研究》 CSSCI 北大核心 2019年第3期217-224,共8页 Chinese Journal of Scientific and Technical Periodicals
基金 全国理工农医院校社科学报联络中心2018年度基金资助项目(LGNY18B6) 江苏省高校哲学社会科学研究基金资助项目(2014SJB457)
关键词 人工智能 期刊 技术 伦理 算法 大数据 平衡 Artificial intelligence (AI) Journal Technology Ethics Algorithm Big data Balance
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