#105 AI UX is Broken – How Do We Measure a “Good” AI Experience?
In this episode, we’re tackling a huge question: How do we measure a “good” AI experience?AI is shaping everything—from hiring decisions to medical diagnoses, from content recommendations to self-driving cars. But here’s the issue: we don’t even have clear UX standards for AI.💡 If we don’t measure UX in AI properly, we risk building products that are functional but untrustworthy, accurate but unethical, powerful but frustrating to use.We dive into:〜 Why traditional UX metrics fail in AI-driven products〜 The Amazon hiring AI scandal—how biased algorithms create bad UX〜 The problem of explainability—why we often don’t understand AI decisions〜 The future of AI UX standards—should there be a universal AI UX certification?📌 Core Question: Can we trust AI to deliver great user experiences if we don’t even know how to measure them?Let’s explore what’s missing in AI UX—and what needs to change.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 NewsletterFollow the Future of UX:🎨 Linkedin: Future of UX Podcast📸 Instagram: Future of UX Podcast🍏 Apple Podcast: Future of UX💚 Spotify: Future of UXFind Patricia on Socials📸 Instagram @ux.patricia🎨 Linkedin Patricia Reiners🐦 Twitter @ux_Patricia📝 My UX Design Blog 🎥 Youtube