AI, Design & Human Factors

The Efficiency Metric: Why AI Should Be Measured by Human Decision-Making

AI should help people make better decisions faster, not make decisions for them. Two DOGE projects show the difference.

The Agentic Architecture: Keeping People in Control of AI That Acts

When AI acts on people's behalf, the question becomes whether they know what it is doing and how to step in.

Designing for Calibrated Skepticism: A Human Factors Perspective on AI Reliance

AI's most persuasive cues about its own reliability are its least valid ones, so design for skepticism, not trust.

The Decline of User Agency: When AI Is Built to Do the Thinking

Why AI products drift toward agreeable, effortless answers, and how to design for the thinking users still need to do.

AI in Qualitative UX Research: Fewer Compromises, Not Fewer Researchers

AI can increase the velocity, breadth and depth of research findings. Sound methodology turns that into impact.

The Empathy Gap: When AI Passes as a Person

Why it feels like deception to find out the person on the line was AI, and what honest disclosure should look like.