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Against the Rejection of Large Language Models in Qualitative Research

Smirnov, Evgeny (2026)

Published
Jul 5, 2026
DOI
10.31234/osf.io/25ywa_v1

At a GlanceAI

Critical review argues against blanket rejection of large language models in reflexive qualitative research.

SummaryAI

This commentary responds to an open letter in which 419 qualitative researchers rejected generative AI for reflexive qualitative research. It organizes 27 concerns into technical, methodological, ethical-political, epistemological, and ontological domains, arguing that many address outdated tools, misuse, or unsettled philosophical questions rather than inherent limits of LLMs. The paper advocates constructive debate about responsible use instead of categorical rejection, framing LLMs as increasingly unavoidable research tools.

Method SnapshotAI

Critical commentary reviewing and evaluating 27 objections to LLM use in reflexive qualitative research.

BackgroundAI

Qualitative research methods, reflexivity, and basic familiarity with generative AI are needed.

Line-by-line explanation of why many arguments against the use of LLMs in psychology are NOT plausible.

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