Skill Safety
A simplified safety checklist for anyone using AI skills
Governance
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.
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.