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

Human–AI Delegation in Social Science Codifiable Tasks vs. Tacit Knowledge, Theoretical Originality, and Field Judgment In an age where everyone is talking about AI, social science research finds itself at a delicate crossroads. Recently, Yongjun Zhang (2026) from Stony Brook University raised a provocative question in his latest paper, " Vibe Researching as Wolf Coming ": what parts of your research can only you do, and what can the machines never replace? Is it running te