Ethics, fairness and bias
Exploring how design choices and AI systems shape who benefits, who is overlooked and where bias can enter the experience.
—Design Lab
Questions worth exploring before answers become products.
What belongs here
Design Lab themes
Transparency and accountability
Making automated decisions understandable, showing the limits of a system and keeping people responsible for the outcomes.
GDPR and data protection
How European data rules shape everyday product decisions — consent, data minimisation and designing for the right to say no.
HIPAA and sensitive data
Designing for health information: privacy by default, trust in every interaction, and keeping sensitive data out of the wrong hands.
DPIA — impact assessments
When a product's use of data is likely to create high risk, mapping the risks before building — and designing the mitigations, not just documenting them.
Experiments
Things made outside the roadmap.
AI-built prototypes
Working software from a Saturday afternoon idea. Mostly to find out where the tools break.
Nordic Ski, still in development
Trail data, conditions and a map interaction I keep rebuilding.
Motion studies
Interface motion tests — timing, mass, restraint. Rive and code.
Design system explorations
Token structures, theming, and how much a system can carry before it stops helping.
06 / Fantasy Arcade
Creativity needs room to breathe.
Teams that only ever run at deadlines lose the ability to explore. Fantasy Arcade was deliberate space for designers to experiment, push craft, try AI tooling and build things without the usual constraints.
Design Leadership
Deliberate space for a design team to experiment, learn and push craft.
01
Explore
Time to chase an idea with no ticket attached to it.
02
Prototype
Build the thing badly and quickly, then look at it honestly.
03
Push craft
Motion, systems, polish — the parts a roadmap never asks for.
04
Try the tools
AI tooling in real hands, on real problems, on purpose.
05
Share it
Show the team. The demo is the point.