Effective Human-in-the-Loop AI Governance
What need to think seriously about what effective human-in-the-loop looks like at the start of the AI age.
ai assurance
If we cannot specify it, we cannot govern it
AI systems are increasingly trusted to act, not just to answer. Our ability to check what they can actually do has not kept pace. Formal methods will not give us certainty, but they can force us to say precisely what a system must never do.
How would you turn off your AI if it went rogue?
If an AI system starts behaving in ways you did not expect, who can actually stop it? Here's a practical guide to designing AI shutdown capability, from authority and access controls to safe fallbacks and a realistic kill-switch checklist.
When the Test Becomes the Threat Model
The OpenAI and Hugging Face incident shows why agentic AI governance cannot stop at the model. The real risk lies in the environment: tools, permissions, incentives, evidence and the ability to stop an agent before an evaluation becomes an incident.