Designing AI that earns trust before it asks for autonomy

The central design challenge in AI is no longer making a system look intelligent. It is helping people understand when that intelligence is dependable.

Trust grows through small, legible moments: showing what the system understood, making assumptions visible, and offering a clear way back when it gets something wrong.

Design for calibrated trust

Confidence should be earned task by task. High-stakes actions need previews and confirmation; low-risk, reversible work can happen quietly.

The best AI experiences do not remove people from the loop. They move people to the moments where judgment matters most.