Thinking
Notes from the messy middle of AI transformation.
AI adoption rarely fails because someone forgot to make another slide deck. The interesting problems appear when technology meets real people, real work, existing organisations and human judgement. These notes follow three threads that run through all of my work.
Human + AI
How people, roles and judgement change when AI joins the work.
Mirrors: people working with AI
Trust + responsibility
Which mistakes matter, and what AI should and shouldn't know about us.
Mirrors: people experiencing AI
Making AI real
Moving from experiments to systems people can actually rely on.
Mirrors: people making AI
Showing all 6 notes

Making AI real
The AI Sandbox Needs a Gate
Experimentation matters. So does deciding what should leave the sandbox.
- Agentic AI
- AI Prototyping
- Human Oversight
- AI Governance
- AI Experience Design

Human + AI, Making AI real
My Role Is No Longer One Thing
And I'm starting to think that might be the point.
- AI Adoption
- Future of Work
- AI Prototyping
- AI Learning
- Human Skills

Trust + responsibility
When the AI Thinks the Burglar Is the Cat
Accuracy isn't enough. We need to understand which mistakes matter.
- Human-Centred AI
- Responsible AI
- AI Risk
- Decision Design
- Human Oversight

Trust + responsibility
How Responsible Do We Actually Want AI to Be?
Personalisation becomes much more complicated when we ask what AI needs to know about us.
- Responsible AI
- Personalisation
- Privacy
- Human Agency
- AI Ethics

Human + AI
When AI Starts Shaping What's “Normal”
AI doesn't only answer questions. Increasingly, it mediates the information from which we form our judgement.
- Human-Centred AI
- AI & Society
- Trust
- Information Design
- Human Judgement

Human + AI, Making AI real
Hiring in the Age of AI Is Really About the Human + AI Team
The question is becoming less “What can you do?” and more “What happens when you and AI work together?”
- AI Adoption
- AI Transformation
- Human Skills
- Future of Work
- AI Prototyping