The architecture of learning in the age of AI.
Metis Lab studies how people, institutions, and intelligent technologies learn together. We develop research, tools, and public programmes for a future in which learning remains deeply human.
Based in the UK. Working across disciplines and borders.
What should learning become when intelligence is everywhere?
AI is changing the conditions under which knowledge is made, shared, assessed, and valued. The important question is not simply what these systems can do. It is how we design the environments around them: the classrooms, workplaces, communities, and institutions where people form judgment, capability, and meaning.
Metis Lab brings together research in learning sciences, cognitive science, design, and technology to investigate that question.
Human OS
Treating the human inner system as a designable architecture, not something left to chance.
Epistemic Agency in AI-Augmented Organisations
How organisations keep, or quietly lose, independent judgment as AI enters how they reason and decide.
Knowledge Structures for AI Reasoning
Restructuring knowledge so AI systems can reason with it, not just retrieve it.
Tacit Knowledge and Leadership Learning
How tacit knowledge gets surfaced, taught, and passed on, particularly through narrative and dialogue.
Decision-Making in Human-AI Collaboration
How decision quality changes when people reason through a problem together with AI.
The Metis Framework
Applies principles from how machine learning systems are built back to human learning and development.
Meta-Books
A working prototype restructuring text into knowledge an AI system can reason with, not just search.
Decision-Making in Human-AI Collaboration
An early prototype and pilot studying how decision quality changes through human-AI collaboration.
Research is stronger when it enters the world.
We work with educators, researchers, technologists, cultural organisations, and public institutions. Our collaborations turn questions into experiments, shared language, practical tools, and new forms of learning.
Build a more thoughtful learning future.
If you are working on the future of learning, intelligence, or institutions, we would like to hear from you.