AI tools are rapidly entering the UX research workflow, but not all research activities benefit equally, and some are actively at risk. This talk examines how AI can support different stages of the UX research process, from planning and recruitment to analysis and insight communication.

Participants will learn where AI adds real value, where it introduces bias or false confidence, and what must remain human-led. The focus is not on tools or prompt libraries, but on judgment, rigor, and quality control. Attendees will leave with a clearer understanding of how to integrate AI into research work responsibly.