Our AI research falls into two streams. The first is methods and architecture: how language models behave under the conditions of substantive knowledge work, what structured reasoning frameworks do to outputs, how scaffolding systems can be built and tested against specific failure modes identified through deployment, and what technical tooling that work requires. The second is institutional: what these systems mean for public administration and state capacity, how they interact with the conditions of lower-resource governments, and where the policy and governance implications remain undertheorised.
A connected sequence on the structural failure modes of AI in professional knowledge work and the methods developed to address them.
We also publish a technical introduction to how language models work – covering architecture, behaviour, and the conditions under which these systems fail – written as a reference for policymakers. It is in the governance section: Introduction to language models for policymakers →