To Vibe Research or Not to Vibe Research? Generative AI in Qualitative Research

TL;DR

This paper discusses the debate over using generative AI in qualitative research, examining philosophical, methodological, ethical, and personal factors influencing researchers' decisions.

Contribution

It provides a summary of ongoing discussions and considerations regarding the integration of generative AI into qualitative research practices.

Findings

Generative AI's suitability depends on research philosophy and approach.

Researchers' skills, ethics, and preferences influence AI adoption.

The paper highlights the complex criteria for AI use in qualitative research.

Abstract

There has been intense debate among qualitative researchers about whether generative AI is suitable for qualitative research. In this paper, we summarize the broader ongoing discussion of generative AI in qualitative research and its implications for software engineering researchers. The qualitative research approach, small-q (positivist or post-positivist) or Big Q (non-positivist), is among the major criteria for determining whether generative AI can be used in qualitative research. In addition to research philosophy and research approach, skills, ethics, and personal preferences also play a role in researchers' decisions about whether to use AI in qualitative research.