Guidelines for the Integration of Large Language Models in Developing and Refining Interview Protocols

Abstract

Rapid advancements in generative artificial intelligence (AI), specifically large language models (LLMs), offer unprecedented opportunities and challenges for qualitative researchers. This paper presents comprehensive guidelines for the ethical and effective use of LLMs in the development and refinement of interview protocols. Through a multidisciplinary lens, this paper explores potential pitfalls, ethical considerations, and best practices to ensure the responsible integration of LLMs in the research process. The guidelines proposed serve not only as a methodological roadmap for researchers but also as a catalyst for dialogue on the ethical dimensions of LLMs in qualitative research. Furthermore, the authors describe and share a web-based application developed to guide users through the stages of the protocol. Ultimately, the paper calls for a collective, informed approach to harness the capabilities of LLMs while upholding the integrity and ethical standards of scholarly research.

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