TOPICS


Predictability, trust, and explainability

  • How do you create predictable UX when AI outputs are inherently unpredictable?
  • What design patterns help users understand and trust non-deterministic responses?
  • When should interfaces expose uncertainty vs. present confident responses?
  • How do you design interfaces that build appropriate trust in AI systems?
  • What’s the right balance between simplicity and explainability?
  • How do you design interfaces that adapt without becoming unpredictable?

Interface paradigms & interaction models

  • Will chat interfaces dominate, or will we see a proliferation of specialized interface types?
  • What determines when to build a custom interface versus adopting chat paradigms?
  • How do you balance familiar patterns with innovative interaction models?
  • How do you design for both power users and newcomers in the same interface?
  • When does customization enhance vs. complicate the user experience?


Personalization, consistency, and design systems

  • How are traditional design systems evolving to accommodate AI-driven interfaces?
  • What new components and patterns are essential for AI product design?
  • How do you maintain consistency when AI enables more personalized experiences?
  • How do you balance personalized AI experiences with consistent design systems?

Organizational change, skills, and team dynamics

  • How has AI changed the relationship between design, engineering, and product teams?
  • What new skills and processes are needed for effective AI product development?
  • How do you maintain design quality when AI capabilities evolve rapidly?
  • What design decisions help users maintain agency in AI-assisted workflows?