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#101 Designing for AI Agents: The Future of UX Beyond Interfaces
Manage episode 467630762 series 2612416
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
Other resources
💻 ✨Waiting list for the AI Academy: 6-week Bootcamp to Learn How to Master AI as a Designer
→ Get notified when doors are opening again
👉 0€ AI mini Training for Designers 👈
→ Learn 3 strategies to leverage gen AI as a designer in just 30 min
💌 Newsletter
→ Free Weekly UX insights and updates: UX Newsletter
Follow the Future of UX:
🎨 Linkedin: Future of UX Podcast
📸 Instagram: Future of UX Podcast
🍏 Apple Podcast: Future of UX
💚 Spotify: Future of UX
Find Patricia on Socials
📸 Instagram @ux.patricia
🎨 Linkedin Patricia Reiners
🐦 Twitter @ux_Patricia
📝 My UX Design Blog
120 פרקים
#101 Designing for AI Agents: The Future of UX Beyond Interfaces
Future of UX | Your Design, Tech and User Experience Podcast | AI Design
Manage episode 467630762 series 2612416
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
Other resources
💻 ✨Waiting list for the AI Academy: 6-week Bootcamp to Learn How to Master AI as a Designer
→ Get notified when doors are opening again
👉 0€ AI mini Training for Designers 👈
→ Learn 3 strategies to leverage gen AI as a designer in just 30 min
💌 Newsletter
→ Free Weekly UX insights and updates: UX Newsletter
Follow the Future of UX:
🎨 Linkedin: Future of UX Podcast
📸 Instagram: Future of UX Podcast
🍏 Apple Podcast: Future of UX
💚 Spotify: Future of UX
Find Patricia on Socials
📸 Instagram @ux.patricia
🎨 Linkedin Patricia Reiners
🐦 Twitter @ux_Patricia
📝 My UX Design Blog
120 פרקים
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1 #106 AI, UX & Sustainability: Designing a Future That Works for Everyone with Thorsten Jonas 54:55

1 #105 AI UX is Broken – How Do We Measure a “Good” AI Experience? 16:16

1 #104 The Future of Fashion UX: Metaverse, AI & Authenticity with Rachel Rosenson 38:43

1 #103 UX in the Age of Overwhelm – Are We Designing for Exhausted Users? 11:00

1 #102 AI, Ethics & Innovation: How Companies Can Integrate AI the Right Way with Zamina Ahmad 57:13
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