AIGC 语境下科普创作的科学性与叙事性协同优化策略研究

The Study on Collaborative Optimization Strategies of Scientificityand Narrativity in Science Popularization Creation under the Contextof AIGC

中文关键词: 生成式人工智能 AIGC 科学普及 科学性 叙事性

英文关键词: generative artificial intelligence  AIGC  science popularization  scientificity  narrativity

中文摘要:

      本文聚焦于科普科学性与叙事性之间的协同发展路径，系统阐释AIGC 驱动下科学性与叙事性协同 优化的双重机制，分析AIGC 在提升科学性和优化传播上的双重功能以及其使用背后的多维问题。继而对AI 幻觉破坏科学严谨性、高科学复杂度内容生成的技术局限性与数据依赖性、工具理性与价值理性的冲突等问 题提出相应的优化策略，即建立多重机制抑制AI 幻觉生成、对高复杂度科普内容进行叙事转换、构建工具理 性和价值理性的协同机制。

英文摘要:

      This paper focuses on the synergistic developmental path between the scientificity and narrativity of science popularization. It systematically explains the mechanism for AIGC-driven synergistic optimization of scientificity and narrativity，analyzes the dual functions of AIGC in enhancing scientificity and optimizing communication，as well as the multidimensional issues behind its usage. Subsequently，it proposes corresponding optimization strategies for issues such as the detrimental effects of AI hallucinations on scientific rigor，the technical bottlenecks in generating highly complex scientific content，and the conflicts between instrumental rationality and value rationality. Namely，establishing multiple mechanisms to suppress AI hallucination generation，conduct narrative transformation for highly complex science popularization content，and build a synergy mechanism between instrumental rationality and value rationality.