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ChatGPT-AIGC用户风险感知维度识别与治理研究——基于扎根理论的探索性分析 被引量:1

ChatGPT-AIGC Users Risk Perception Dimension Identification and Management Research:An Exploratory Analysis Based on Grounded Theory
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摘要 [目的/意义]识别ChatGPT-AIGC用户风险感知维度属性,为数字智能时代有效实现风险治理、推动新一代人工智能技术健康可持续发展提供价值参考。[方法/过程]结合已有风险感知维度研究成果,通过面对面访谈和线上访谈收集数据,借鉴扎根理论研究思路对访谈文本进行三级编码,构建ChatGPT-AIGC用户风险感知影响机理APCO模型。[结果/结论]结果发现个人风险感知能力影响用户产生不同的风险感知维度,而用户风险感知维度属性又进一步对使用意愿产生影响。基于此,从技术研发、信息监管、法律监督三方面提出风险治理策略。 [Purpose/significance]This paper aims to identify ChatGPT-AIGC users'risk perception dimension attributes,so as to provide a valuable reference for effectively realizing risk management in the era of digital intelligence and promoting the healthy and sustainable development of a new generation of artificial intelligence technology.[Method/process]Combined with the existing research results on the dimensions of risk perception,data were collected through face-to-face and online interviews,and the interview text was encoded at three levels by referring to the research ideas of grounded theory,so as to build the APCO model of the impact mechanism of ChatGPT-AIGC users'risk perception.[Result/conclusion]The results show that individual risk perception ability affects users to produce different risk perception dimensions,and the attributes of users'risk perception dimensions further affect the use intention.Finally,the risk management strategy is proposed from three aspects:technology research and development,information supervision and legal supervision.
作者 刘亚丽 范逢春 Liu Yali
出处 《情报理论与实践》 北大核心 2024年第3期121-129,共9页 Information Studies:Theory & Application
基金 国家社会科学基金一般项目“基于多源大数据的县域政治生态监测体系与集成治理研究”的阶段性成果,项目编号:22BZZ073。
关键词 扎根理论 ChatGPT 人工智能生成内容 风险感知 治理策略 grounded theory ChatGPT AIGC risk perception governance strategy
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