Rapid developments in large language models raise growing concerns about participants’ AI use in research relying on subjective responses, which may undermine the validity and authenticity of research data. Drawing on emerging scholarship and researchers’ experiences, this roundtable explores implications for qualitative research, potential indicators of AI use in interviews, and strategies researchers can employ to enhance data integrity during research design and data collection.
