生成式人工智能驱动信息资源组织与服务研究向度质性分析与反思
张瑞娟1
作者信息
摘要
本研究使用质性分析工具对相关学术研究成果进行梳理,总结主要研究成果和思维逻辑,从正向度分析、双向度分析和负向度分析三个向度对研究向度进行归纳梳理,认为正向度分析包括创新信息服务内容、创新信息服务形式和服务引领社会变革等;双向度分析主要为知识平台再中心化;负向度分析包括造成规制问题、影响公众利益和造成信息风险等.据此,提出了生成式人工智能驱动信息资源组织和服务的趋利避害思维逻辑,指出了多模态信息整合、社交媒体、抗性生成网络、风险危机预警政策、个性化信息服务、迁移学习等方面的研究发展趋势.
Abstract
This study uses qualitative analysis tools to sort out relevant academic research results,summarize the main research results and thinking logic,and summarize the research dimensions from three dimensions:positive analysis,bidirectional analysis,and negative analysis.It is believed that positive analysis includes innovative information service content,innovative information service forms,and service leading social change;Bidirectional degree mainly refers to the re centralization of knowledge platforms;Negative analysis includes causing regulatory issues,affecting public interests,and creating information risks.Based on this,a profit and avoidance thinking logic driven by generative artificial intelligence for information resource organization and services is proposed,and research and development trends in multimodal information integration,social media,resistance generation networks,risk crisis warning policies,personalized information services,and transfer learning are pointed out.
关键词
人工智能/生成式/信息资源管理/信息组织/信息服务/质性分析/风险治理/向度Key words
Artificial intelligence/Generative/Information resource management/Information organization/Information services/Qualitative analysis/Risk governance/Dimensionality引用本文复制引用
出版年
2024
NETL
NSTL
万方数据