Curious about designing human-centered AI products? Let’s walk through a case study of how a Google product team has made design decisions that are people-first. You’ll learn frameworks and tips for building your own AI products.
Curious about designing human-centered AI products? Our People + AI Research (PAIR) team will share insights from the new People + AI Guidebook, a toolkit for making AI product decisions. We’ll walk through a real case study of how a product team used the Guidebook to design a new AI-driven feature, and you’ll learn how to assess whether a problem is a good fit for ML, collect representative training data, and help users understand how to interact with AI systems.
————-
Di Dang
As an Emerging Tech Design Advocate at Google, I launched the People + AI Guidebook, a toolkit for designing AI products. Previously, I worked as a Senior UX Designer and led the Emerging Tech group at Seattle-based digital agency POP. With a degree in Philosophy and Religion, I consider myself an optimistic realist passionate about responsible design. You can also find me onstage doing improv or on Twitter at @dqpdang.
Kristie Fisher
I am a staff user experience researcher on Google Stadia and an author of the People + AI Guidebook. Previously at Google, I’ve worked on Ads planning tools and on AI-driven productivity tools in G Suite. Prior to Google, I was a researcher at Xbox. I have a PhD in cognitive psychology from the University of Washington and a BS in applied psychology from Georgia Tech.
