AI in Qualitative Research: Collaborative Partner or Epistemic Risk? The rise of Generative Artificial Intelligence (GenAI) has sparked a profound scholarly debate in the field of qualitative research, centered on a critical question: Do Large Language Models (LLMs) enhance the depth of qualitative exploration, or do they fundamentally threaten its epistemological foundations? Adam S. Hayes (2025) argues that LLMs are revolutionizing how scholars work with textual data by all

Unpacking Bias in AI in Qualitative Research GenAI Is More Than a Tool Looking back from the mid-2020s, it is hard to think of any recent change in academia more disruptive than the rise of generative artificial intelligence (GenAI). As Deleuze and Guattari wrote in the 1980s, “Tools exist only in relation to the interminglings they make possible or that make them possible.” Today, this observation feels especially relevant to new AI technologies, and particularly to GenAI. G

AI research assistant helping with coding and data analysis In recent years, large language models, coding agents, and automation tools have gradually entered research practice. They can assist researchers with literature organization, code implementation, experiment orchestration, result aggregation, and even drafting. But this does not mean that the research process will naturally become more rigorous. On the contrary, if clear boundaries, evaluation, and process control ar