UX practitioners are navigating two powerful forces: the rapid rise of AI and the responsibility to design experiences that are transparent, ethical, and human-centered. Embedding research early in the AI lifecycle not only mitigates bias but also sparks innovation that resonates at scale. This session will share practical frameworks for aligning research with AI development, lessons from scaling UX research across complex systems, and strategies to empower teams to innovate responsibly without burnout.

Attendees will gain methods to critically evaluate AI tools, surface hidden biases, and apply research insights to build trust and transformation. Beyond techniques, the session highlights the leadership mindset required to champion research as both an organizational driver and a catalyst for inclusive futures.