Blog
Writing as I develop my specialism in AI management systems, governance, risk and responsible adoption — research, analysis and practical thinking rather than sales copy.
The warnings about advanced AI are getting louder. But many of the people making them have been warning us for years. The harder question is what happens when caution collides with competition.
AI can learn patterns from the world we've already created. But what happens when those patterns reflect prejudices we're trying to leave behind?
Does AI actually keep teaching itself? I started with what sounded like a simple question and ended up looking at inference, autonomous agents, AI-assisted AI research, recursive self-improvement and the risks of increasingly capable systems.
Your business may be using considerably more AI than you realise. Before writing policies or conducting risk assessments, start by finding the AI tools your people are already using and understanding what they are using them for.
AI governance can sound like something designed for banks, governments and enormous technology companies. For most SMEs, it should be much simpler: know where AI is being used, understand what could go wrong, give people sensible boundaries and make the safe way the easy way.