AI介导的知识生产中的解释能力作为知识论基础设施

When large language models participate in scientific inquiry, the wording of a request helps shape the knowledge claims presented for appraisal. This conceptual article examines the interpretive demands that follow. Technical improvements cannot remove all such demands: even accurate responses require framing appropriate to the inquiry, and generated text can sound authoritative or cautious without adequate evidential support. We propose four interpretive competencies: framing awareness, uncertainty detection, evidential coherence judgment, and interactional reflexivity. The framework organize