Q&A Deep Dive: Designing Human-Centered AI Products People Can Trust

AI products only succeed when they are useful, understandable, and grounded in real human needs. In this Q&A deep dive, Kent Eisenhuth, Anya Gerasimchuk, and Larkin Brown will help you explore how leading teams are building AI experiences that balance innovation with clarity, trust, and strong design principles, with plenty of space for you to ask direct questions and dig into the practical realities behind the work.

Kent will share how data visualization can make generative AI experiences more intuitive, informative, and human-centered. Anya will bring the healthcare perspective, showing how AI can reduce administrative burden, improve productivity, and support better outcomes while still operating within strict constraints around trust, compliance, and data. Larkin will show how Pinterest is combining UX research, design leadership, and generative AI to create visual experiences that keep human insight at the center.

Together, they will unpack how you can design AI experiences that are not only technically impressive, but genuinely usable, trustworthy, and valuable. Come ready to raise your questions, test your assumptions, and get into the detail of what actually works when building human-centered AI products.