Generative Artificial Intelligence in Qualitative Research Methods: Between Hype and Risks?
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Abstract (arXiv)
As Artificial Intelligence (AI) is increasingly promoted and used in qualitative research, it also raises profound methodological issues. This position paper critically interrogates the role of generative AI (genAI) in the context of qualitative coding methodologies. Despite widespread hype and claims of efficiency, we propose that genAI is not methodologically valid within qualitative inquiries, and its use risks undermining the robustness and trustworthiness of qualitative research. The lack of meaningful documentation, commercial opacity, and the inherent tendencies of genAI systems to produce incorrect outputs all contribute to weakening methodological rigor. Overall, the balance between risk and benefits does not support the use of genAI in qualitative research, and our position paper cautions researchers to put sound methodology before technological novelty.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 6 of its 44 references that are in the map. First posted on arXiv 11 Nov 2025.
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6 of 44 references.
References · 6
- 2017Attention Is All You Needcited by 59,932
- 2023Generative AIcited by 119
- 2024Best Practices for Text Annotation with Large Language Modelscited by 34
- 2023CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysiscited by 25
- 2024From Prompt Engineering to Prompt Science With Human in the Loopcited by 12
- 2024H is for Human and How (Not) To Evaluate Qualitative Research in HCIcited by 6
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.