AI Governance Series, Part 3: Building Governance That Actually Works

This is the third in a four-part series focused on AI Governance.

Does your AI governance framework actually govern? Many organizations fail at meaningful AI governance not because they lack awareness of potential AI pitfalls, but because they build governance frameworks that look impressive on paper while proving to be ineffective in practice.

The difference between theoretical governance and practical control became starkly apparent during the Grok incident that we discussed in Part One of this series. xAI likely had policies about AI safety and content moderation and probably had review processes for system changes, yet engineers implemented prompt modifications that (perhaps predictably) led to Holocaust denial and detailed instructions on violence. The governance existed, but it didn't govern.