Projects

A research programme, not a portfolio.

Each project is documented the way a laboratory documents its work: the question it answers, why it matters, how it is studied, what it is finding and where it leads next.

Browse by theme

2 of 6 projects

Project 05

Ongoing enquiry

Human Behaviour in AI Systems

A cross-cutting enquiry into the adaptations, workarounds and quiet refusals through which people absorb AI systems into everyday routines.

How do people adapt their behaviour to AI systems, and what does that adaptation cost them?

Why it matters: Workarounds are usually recorded as non-compliance. Read carefully, they are the most precise available description of a design failure.
Methods: Observational studyInteraction analysisComparative case studies
Findings: Emerging: users perform legibility for systems — reshaping how they write, answer and behave so a machine will read them correctly.
Impact: A behavioural vocabulary product and service teams can design against.
Future implications: Development into a framework for human-centred AI evaluation.

Project 06

Ongoing enquiry

Policy and the Imagined User

A critical reading of AI policy and governance documents to surface the citizen they imagine and the people that imagination excludes.

Which human does AI policy design for, and who is left outside the frame?

Why it matters: Governance frameworks travel faster than the evidence beneath them. The imagined user embedded in them quietly determines who is protected.
Methods: Critical discourse analysisComparative policy reviewStakeholder interviews
Findings: Emerging: connectivity, literacy and unhurried deliberation are assumed almost universally, and almost never stated.
Impact: Sharper, more grounded participation in national and institutional AI governance debate.
Future implications: Policy briefs and contributions to public consultation processes.