Skill Safety
A simplified safety checklist for anyone using AI skills
Notes and writing
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A simplified safety checklist for anyone using AI skills
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 placeholder website has finally been replaced and version 1 is now live. Then I did a retrospective with Claude and learnt a few things.
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.
Week 31 Cartoon
Week 30 Cartoon
Week 29 Cartoon
Week 28 Cartoon
Week 27 Cartoon
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.