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The Psychology of Trust in AI

A five-part series exploring what it really means for people to trust AI — and what that means for the organisations deploying it. Drawing on behavioural science, real-world NHS experience and AI governance practice.

Five-part series Behavioural science AI governance Technology adoption

A five-part series on trust, behaviour and AI adoption

This series builds a practical framework for understanding and designing calibrated trust in AI — from the psychology of individual users to the governance structures of institutions. Each part stands alone but the series works best read in order.

All five parts live 48 min total read
Part 1

What Does It Mean to Trust AI?

How trust operates in complex socio-technical systems · 9 min read

Read now → Part 2

Why Humans Miscalibrate AI

The behavioural psychology behind misuse and disuse · 9 min read

Read now → Part 3

How AI Design Shapes Trust

Where psychology, interface design and machine behaviour converge · 10 min read

Read now → Part 4

What Institutions Must Do

Oversight, governance and the systemic conditions for justified trust · 11 min read

Read now → Part 5

Building Calibrated Trust for Real-World AI Deployment

From fragmented trust to a coherent socio-technical strategy · 11 min read

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Download the full white paper

All five parts compiled into a single PDF — The Psychology of Trust in AI. Formatted for sharing with teams, policy contacts and leadership.

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