Strategy
Designing trust into AI products
The difference between AI people use and AI they abandon is rarely the model. It's the experience around it.
Ayesha Khan·Design Lead·April 3, 2026·5 min read
The most accurate model in the world is worthless if people don't trust it enough to act on it. Trust is a design problem as much as an engineering one.
Show your work
Citations, confidence and explanations turn a black box into a colleague. When an AI shows why it reached a conclusion, users can verify it — and verification builds trust fast.
Design for the wrong answer
AI will be wrong sometimes. Great AI products make it easy to catch and correct mistakes, so a wrong answer is a small friction, not a disaster.
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Written by
Ayesha Khan
Design Lead, DSME Global Links
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