The five themes

Five themes for knowing and doing in the age of AI.

The cases are grouped around five questions: what do we see, what do we know, what are we trying to improve, how do we act and how do we work together?

Seeing

Seeing

What does the organisation see - and what remains outside the frame when data, digitisation and searchability determine what counts as evidence?

Browse Seeing cases
Knowing

Knowing

When is agreement genuine confirmation, and when do people, documents and AI merely repeat the same origin?

Browse Knowing cases
Optimising

Optimising

What changes when measurable proxies, targets and lower production costs begin to steer behaviour and systems?

Browse Optimising cases
Doing

Doing

Can work continue while people lose the skills to understand it, explain it or resume it after a disruption?

Browse Doing cases
Coordinating

Coordinating

How do system problems arise when locally reasonable choices collide around shared capacity, cooperation and responsibility?

Browse Coordinating cases
Research direction · experimental

Information · Knowledge · Knowledge Distribution

Could people receive fewer messages and documents while better understanding what they need to do? This research explores how knowledge reaches the right people, with enough context and detail. We still need to test whether distinguishing information distribution from knowledge transfer helps.

This research sits alongside the current ArtiProof method. Any extension of the method would need its own evidence and a separate decision.

Where does the method sit?

The five themes help you explore the cases. The ArtiProof method has a different role: assessing whether an organisation can rely on its knowledge for a particular piece of work. It distinguishes three knowledge types and five assessment properties.

Return to the method

Explore knowledge distribution

The exploratory Information · Knowledge · Knowledge Distribution direction has its own entry within the research programmes.

Explore the research direction →

ArtiProof is ready for research, but has not yet been broadly validated by independent researchers. The first independent replication is still pending. More about the research.