知识风险与批判性生成AI介导阅读框架

ABSTRACT Generative artificial intelligence (GenAI) is increasingly used to explain, summarize, and generate information, yet these activities are rarely framed as reading practices. This conceptual paper examines GenAI‐mediated reading, in which readers engage with responses generated by large language models (LLM) during inquiry and knowledge construction. GenAI frequently presents fluent and synthesized responses whose evidentiary basis, source relations, assumptions, and limitations may remain opaque. This paper identifies three epistemic risks: (a) fluent language may be misrecognized as