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?