In this episode, we explore one of the biggest shifts happening in UX: designing for AI agents instead of traditional interfaces. As AI moves from merely responding to user inputs to making autonomous decisions, what does this mean for UX designers? We discuss the transition from screens and menus to AI-driven user-agent collaboration, the challenges of trust, explainability, and user autonomy, and the new UX principles needed to ensure AI remains predictable, transparent, and adaptable.
Key Takeaways:
✔️ Trust & Explainability – Designing AI that is transparent and predictable
✔️ User Autonomy – Balancing automation with user control
✔️ AI Behavior Design – Shifting from interface design to shaping AI decision-making
✔️ New UX Principles – Ensuring AI adapts, learns, and remains human-centered
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