Journal

Notes and writing

The XML feed for these posts is here.

AI Transparency Is Not Enough

What do we mean by AI transparency? In the definitions emerging from policy, it is too narrow and we need to start thinking about transparency more broadly. This post is the second of three about practical AI governance, continuing from this first post.

The New Site Is Live

The placeholder website has finally been replaced and version 1 is now live. Then I did a retrospective with Claude and learnt a few things.

Designing Governance

There is a flood of AI policy masquerading as governance, and it does not survive contact with an actual AI agent. If you want to automate a process, you first have to understand that process, including the messy bits nobody wrote down. Stafford Beer worked out why this matters back in the 1970s, and his insight is uncomfortably relevant now: your controls have to be as complex as the thing they are controlling. A prompt and some context will not do it; practical governance starts with feedback loops and safe experimentation, not documents.

Is AI Dismantling the Skills Ladder

There is an old framework for understanding how expertise is built. It predates the modern workplace by centuries, but it maps onto professional development with precision. And right now, AI is breaking it in ways most organisations have not even begun to notice.