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Generative Artificial Intelligence in Qualitative Research Methods: Between Hype and Risks?

Published: November 11, 2025 | arXiv ID: 2511.08461v1

By: Maria Couto Teixeira, Marisa Tschopp, Anna Jobin

Potential Business Impact:

AI can't be trusted for deep research analysis.

Business Areas:
Artificial Intelligence Artificial Intelligence, Data and Analytics, Science and Engineering, Software

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.

Country of Origin
🇨🇭 Switzerland

Page Count
8 pages

Category
Computer Science:
Computers and Society