Understanding AI. Understanding institutions.

Research, writing, and practical perspectives on how AI shapes institutions, public life, and society.

I write about AI governance beyond the technology itself: policy, accessibility, education, public institutions, and the systems that shape how AI is built, deployed, and governed.

What are we becoming alongside artificial intelligence?

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AI Governance Archive
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About

I research and write about AI governance, accessibility, education, and the relationship between technology and society.

My work focuses on helping people understand not only what AI can do, but also how it changes institutions and everyday life.

The site is a working space: essays as the thinking develops, and a public archive of laws and frameworks.

Notes on Governance

Writing
What counts as AI governance?
What counts as AI governance?

There is no single official definition of AI governance. This note sets out the working definitions in current use (Gartner, NIST, ISO and others), the UK principles-based approach, and the practical questions organisations must answer.

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When does AI quality assurance become surveillance?
When does AI quality assurance become surveillance?

AI can turn legitimate quality checks into continuous worker surveillance. The boundary lies in purpose, proportionality, valid evidence and meaningful contestability.

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WHO MUST PROVE THAT A STUDENT MISUSED AI?
WHO MUST PROVE THAT A STUDENT MISUSED AI?

Institutions should distinguish suspicion from proof when investigating student AI use, with clear evidence standards, accessible responses and meaningful appeals.

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What happens when someone cannot use your AI service?
What happens when someone cannot use your AI service?

An inclusive AI-enabled service must provide a visible, usable and properly resourced alternative for people who cannot or do not want to use the automated route.

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