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The Risks of AI in Qualitative Research

00:00 - Start 01:29 - What is AI? 05:06 - Keep it small, do it slow 09:55 - After the interview 17:27 - Subjectivity and sense-making 20:57 - Online interviews Summary: In this video, I discuss the role of Artificial Intelligence (AI) in qualitative research, particularly how it can hinder the depth and authenticity required for qualitative analysis. Targeted at students of qualitative methods, this video explores why AI, especially tools based on Large Language Models (LLMs) like ChatGPT, isn’t well-suited for qualitative research. AI is great at generating content quickly at large scales, but qualitative research values small-scale, deep, and slow engagement with data. I explain how the use of AI in data collection and analysis compromises the rich, nuanced interaction that is central to qualitative research. In interviews, AI-driven voice bots or interviewers may lack the ability to foster genuine rapport with participants, leading to shallow, disconnected data. Additionally, AI’s speed in transcription can introduce inaccuracies that require extensive manual corrections, reducing the quality of the final transcript. I also emphasize the importance of subjectivity in qualitative analysis, where researchers' personal insights and engagement with the data guide their interpretation. AI’s lack of transparency in its decision-making process obscures the researcher’s subjectivity, making it difficult to trust the results it generates. This video encourages researchers to recognize the critical role of human interaction, transparency, and authenticity in qualitative research, urging caution in using AI as a replacement for these core principles. If you’re interested in the intersection of AI, psychology, and research methods, this video provides valuable insights into the limitations of AI in qualitative research settings. Keywords: • Artificial Intelligence in Qualitative Research • Qualitative Methods • AI and Psychology • Thematic Analysis • AI Transcription in Research • Human Subjectivity in Research • Qualitative Data Collection • AI vs Human Interviewer • Research Methods for Psychology • Using AI in Academic Research