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#105 AI UX is Broken – How Do We Measure a “Good” AI Experience?
Manage episode 472400872 series 2612416
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 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
113 قسمت
#105 AI UX is Broken – How Do We Measure a “Good” AI Experience?
Future of UX | Your Design, Tech and User Experience Podcast | AI Design
Manage episode 472400872 series 2612416
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 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
113 قسمت
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