20 articles on ai governance.
AI Governance
A failed AI governance audit is a specific, recoverable problem. The boards that recover well focus on causal gaps first and documentation second. Most do it in reverse.
AI Governance
Every organisation with AI in production will have an AI incident. The governance question is whether the review process exists before the incident occurs, or gets built in its aftermath.
AI Governance
Most boards think they have an AI strategy. What they have is an AI conversation that has not yet become a governance structure. The distinction matters — and the failure patterns are specific.
AI Governance
Most boards do not know what AI readiness means for a governance body. This guide defines it specifically, and gives directors a structured way to assess where their board actually stands.
AI Governance
When an AI system fails, most boards ask what went wrong. The more important question is why — and that requires a different kind of reasoning than most governance frameworks support.
AI Governance
Mid-sized company boards face a real choice between a fractional technology advisor and a full non-executive director. The decision turns on accountability, not cost.
AI Governance
AI governance failure at board level follows recognisable patterns. Here are the five most common signs that a board is managing the appearance of AI governance rather than the substance.
Advisory Validation
A board advisor affiliated with a consulting firm cannot provide the independent governance judgement the board's fiduciary function requires. This is structural, not a criticism of any firm.
AI Governance
Every AI governance framework mentions human oversight. Almost none of them specify what that oversight actually requires from a real human in a real organisation.
AI Governance
The NACD's AI governance guidance is a useful starting point. For boards of mid-sized companies, it is also incomplete in specific ways that matter.
AI Governance
Three major EU regulations have landed on boards simultaneously. They are not separate compliance exercises. Understanding where they overlap is where the governance priority sits.
Advisory Validation
The nomination committee looking for an AI-credible non-executive director is often searching for the wrong credential. Here is what actually predicts governance effectiveness.
AI Governance
Most boards think they need an AI strategy first and governance later. This is the wrong sequence. Governance defines what questions the strategy must answer.
AI Governance
August 2, 2026 is not a soft deadline. Boards of companies with AI deployments in scope need to have answered the governance question before that date, not on it.
AI Governance
Most boards ask reasonable questions when approving AI investments. They are also insufficient. The governance architecture is where deployments fail — and the right questions are rarely asked.
AI Governance
The Sneaky Truth Hidden in Video Editing Platforms’ AI Rules and Quantum Technologies Impact Picture this: You craft a cracking good video, maybe you are...
AI Governance
I’ve long advocated for AI’s potential to deliver societal and economic value, from healthcare to education. However, it’s equally important to recognise...
AI Governance
A few weeks ago, I wrote about the dangers of over-optimising AI in social media, arguing that it will undoubtably destroy value rather than create it. So...
AI Governance
The digital landscape has long been lauded as a veritable goldmine for advertisers, with social media platforms at the forefront of this revolution,...
AI Governance
Today, you can use AI to post on social media. For around $10 a month. You can also use AI to respond to people's posts and make comments. Also around...