EB-9
*(Advanced track only.)* The interface is the accountability layer between human intent and autonomous action. An agent without a well-designed supervision surface is a black box, regardless of how good its internals are.
Theme: Foundations →8 topics — scope and references for each.
The foundational split in how AI touches design. **Design-time** AI helps designers create interfaces — generating layouts, checking accessibility, writing U…
Designing for an agent is not designing a chatbot. An agent takes consequential actions without being asked, which demands four design principles: transparen…
The central thesis of the module. Most agent interfaces fail because teams treat the agent as a black box, showing inputs and outputs without revealing reaso…
The established patterns for chat and co-pilot surfaces: clarity, guidance, and explainability; clear available actions; the ability to override AI suggestio…
Interfaces that build themselves. Generative UI assembles the interface in real time around what a specific user is trying to do — a beginner sees simplified…
Helping users trust an agent the right amount — neither blindly nor not at all. The system earns permission through demonstrated reliability rather than dema…
A strategic reframing of what AI interfaces optimise for. UX is shifting from the attention economy — maximising time spent — to an economy of intention, whe…
The risks that come with generative design. Because AI models reproduce dominant patterns from their training data, AI-generated interfaces trend toward same…
Topics are combined ad hoc for corporate programs and workshops — there is no fixed public duration. Tell us your goals and we design the track.
Discuss a custom program