What is generative UI?
Generative UI describes interfaces where parts of the surface are dynamically derived from context, rules, or model output instead of only predefined states.
AI Products & Interfaces
AI generates the interface. What do UX designers do now?
When AI helps shape the interface, it changes more than UX: it changes product logic, responsibility, and trust. This talk explains what businesses need to consider when adopting generative interfaces.
This talk explains what AI adoption means for digital products when AI generates parts of a product interface. Through practical examples, teams learn how to expose sources and data, communicate uncertainty, and give users control. It covers follow-up questions, corrections, source views, and layered detail. Suitable for conferences, product teams, and internal workshops.
When the surface is no longer fully static
- AI products often show a polished answer without showing which sources, tools, data, or assumptions shaped it.
- Generative UI can feel useful, but loses trust when users cannot understand or correct what happened.
- UX, product, and frontend teams need new rules for transparency, control, uncertainty, and context.
FAQ
Does AI replace UX designers?
No. The work shifts: less pure screen production, more design of context, transparency, control, trust, and correction capability.
What does context transparency mean?
Context transparency means showing users, at the right level of detail, which information, sources, assumptions, or tools an AI feature used.
Is the talk only relevant for chatbots?
No. The patterns apply to web products, internal tools, assistive features, search experiences, and dynamic product surfaces.
Which UX patterns are covered?
The talk covers progressive disclosure, answer layers, trust layers, optional debug layers, source panels, follow-up questions, uncertainty cues, and correction mechanisms.
