In this engaging conversation, Lauren Kaplan, a sociologist with a PhD from Goethe University Frankfurt and former UX researcher at Meta, shares her insights into the pivotal role of UX research in shaping AI initiatives. She delves into the challenges of bias in research, emphasizing the importance of unbiased data collection. Kaplan discusses collaborative strategies between UX researchers and ML engineers to enhance user-centric AI tools. Highlighting the necessity for effective communication and alignment within organizations, she champions structured research to drive innovation and user satisfaction.

Lauren M. Kaplan, a mixed methods researcher passionate about inclusion and leveraging technology for social good, discusses the importance of user research for AI product development. They cover topics such as matching user research with product development, the benefits of user research for AI products, the difference between user research and user feedback, challenges of doing user research for AI, and approaches to user research for generative AI.