UX Camp Spring 2025
Lessons Learned From Designing for AI Systems
This presentation focuses on practical tools and frameworks for designing AI experiences that users find genuinely helpful rather than frustrating. Drawing insights from various sources, including my work on a product that helps doctors generate clinical notes from their patient conversations, I’ll provide actionable strategies for designers and teams. By the end, you’ll have a toolkit to help you and your teams create safe, user-centered applications while identifying valuable opportunities for AI to address real-world needs effectively. Highlights include:
- Team exercises to help identify and de-risk promising AI projects
- Design and Research tips for different types of AI experiences
- Why most AI experiences are actually Very Much About the Interface, Thank You
- Critical things to keep in mind while working on AI projects
Share This Post













