Back to selected work

Case study

Trust by Design

Research and a framework for trustworthy AI experiences, built with public sector AI implementation teams.

Visit the project site

Perspectives

Making AI, Working with AI, Experiencing AI

Method stages

AuditPathwayPrototypeTestScale

Organisation and timeframe

Placeholder: Organisation (or anonymised description) and dates

The situation

Placeholder: Context: organisation type, scale, the AI initiative involved and why it was stuck. Anonymise where needed.

Audit

What I found

Placeholder: Research methods used, who you spoke to, and the key barriers or opportunities found.

Pathway

The pathway we designed

Placeholder: The learning pathway, adoption journey or workflow you designed, and for which roles.

Prototype

What we made tangible

Placeholder: What you built or prototyped, and with which tools.

Test

What testing showed

Placeholder: How people responded: comprehension, trust, failure states, oversight. Use only verified findings.

Scale

What scaled, changed or stopped

Placeholder: Decisions the evidence supported. Only include outcomes you can stand behind.

What the organisation can do now

Placeholder: The lasting change in capability, practice or governance.

My role

Placeholder: Your specific contribution, the team, and timeframe.