Human collaboration
Make our part in AI collaboration observable.
Start with how a person works with AI, then use that evidence to inform learning and better collaboration.
AI collaboration depends on what people do: how we set intent, question an answer, recognize a problem, and decide what to trust. PAICE.work is the assessment product that produces the PAICE Score, a snapshot of collaboration skill on the human end.
An independent measure can give learners and teachers a shared starting point. AI Posture contributes a broader mental model for discussing aggregated intelligence; its direct applications remain to be developed.
The connections
How the parts fit together.
The assessment supplies a snapshot. The framework supplies conceptual context. AI Posture isn't a validated roll-up of the PAICE Score or the wider portfolio.
Explore the projects
Start with the part that matters to you.
AI PostureSupporting framework
AI Posture
Aggregated Intelligence Posture: a supporting framework for understanding and communicating aggregated intelligence. Practical applications remain to be developed.
Explore AI PostureReading the evidence
A score needs a stated scope and evidence behind its interpretation. It doesn't establish every aspect of a person's work with AI or prove a portfolio-wide compounding effect.
Research & resources
Explore the ideas behind the work.
- Closing the Collaboration Gap2026-03-31 · whitepaper
- Governance Without Surveillance2026-05-01 · whitepaper
- Verifiable Human-AI Collaboration2026-02-24 · whitepaper
These are dated research and design documents. Read them alongside the current project descriptions.
Help move this work forward
Bring your part to the collaboration.
Help investigate what useful measurement should reveal, how learners and teachers use it, and what evidence would show improvement.