Machine Learning and User Experience — Building ML Products for People

Michelle Carney, a Senior UX Researcher on Google’s TensorFlow team, joins Hugo Bowne-Anderson to discuss how combining ML and user experience (UX) creates more impactful products. Michelle shares why UX should be a top consideration for data scientists and ML practitioners and offers practical guidance on designing ML products that truly resonate with users.

In this episode, Michelle and Hugo cover:

• Why data scientists need to start thinking about UX
• The top things data professionals should know about UX design to improve their ML products
• How to measure the success of UX initiatives for ML
• How UX design connects to other ML aspects like usability, explainability, and ethics

_{This episode was recorded as a fireside chat on 07/28/2022.}