生成式人工智能辅助公共意见传播的空间叙事——伦理约束与路径建构  

Spatial Narrative of Generative Artificial Intelligence Assisted Public Opinion Dissemination:Ethical Constraints and Path Construction

作　　者：柏杨 李晓[3] BAI Yang;LI Xiao

机构地区：[1]新疆大学马克思主义学院 [2]石河子大学马克思主义学院,新疆石河子832061 [3]北京工业大学文法学部

出　　处：《华侨大学学报（哲学社会科学版）》2024年第3期133-147,共15页Journal of Huaqiao University(Philosophy & Social Sciences)

基　　金：国家社会科学基金“改革开放以来新疆高校意识形态工作基本经验研究”(20BKS098);新疆建设兵团高校辅导员工作室建设项目“小白杨辅导员工作室”(兵教函[2021]2号);新疆建设兵团高校思想政治教育研究课题“新时代兵团高校组织育人工作体系研究”(BTSZ20231207)。

摘　　要：媒体深度融合的时代背景下,生成式人工智能的发展为优化空间叙事提供了可能路径。通过对生成式人工智能技术、算法逻辑及语言模型等机制的考察,发现智能技术强化了空间叙事逻辑,为公共意见的传播提供了更广阔的发展平台。同时生成式人工智能的技术具身性、技术决定论引发的秩序缺位,又会带来解构公共意见的风险。认为应当在技术伦理与媒介伦理的双重管制下,从原则基础、能力生成、规则表达与体系建构四个层面优化传播路径。The development and application of generative artificial intelligence has brought opportunities and challenges to the media industry and dissemination theory.In the current era of digital media,the combination of public opinion and generative artificial intelligence provides the possibility of spatial narratives in communication studies.Through the examination of the generative artificial intelligence technology,algorithmic logic,and language models,it is found that intelligent technology strengthens spatial narrative logic and provides a broader development platform for the dissemination of public opinions.But the lack of order caused by the technology of generative artificial intelligence itself also poses a risk of deconstructing public opinion.Therefore,under the dual regulation of technological ethics and media ethics,the communication path should be optimized from four levels:principle foundation,ability generation,rule expression,and system construction.

关 键 词：生成式人工智能 算法应用 公共意见传播 空间叙事 

分 类 号：G206[文化科学—传播学] TP18[自动化与计算机技术—控制理论与控制工程]