Ai

Introduction Two days ago I co-moderated a roundtable on ISO 42001. Multiple questions were asking what is AI Governance: is it going to look like the worst parts of compliance - a checklist bolted on at the end, slowing things down, adding cost, and not really making anything safer? Good AI governance is not a compliance tax. It’s good design. And once you frame it that way, a lot of the apparent tension between “moving fast” and “being responsible” disappears. ...

Introduction In my 2025 in Review, I noted that 2025 was the year I switched to AI-assisted coding, and that organizations which embrace it will push far ahead of those which don’t. That was written in late December, with the ink still wet on the experience. Four months later, with a few more projects under the belt, it’s time to revisit that claim. Three projects form the evidence base: Bridge Ratings - (May 2025 - presented at Data Science SG in Jun 2025) Admissions Prediction - straightforward binary classification, but with shifting requirements Vaultshift - started January 2026, a bridge results platform that has grown from a single-session MVP into a full multi-session system integrated with automated masterpointing and ratings from above It’s interesting to see how things have changed really fast over the past year. ...

Introduction The Federal Aviation Authority (FAA) often teaches about the The Five Hazardrous Attitudes which are psychological tendencies leading to unsafe decisions if left unchecked. It is perhaps not surprising that these five attitudes can be applied to the usage of AI as well, given the common theme of engineering and complex systems in both aviation and AI. What are the five hazardrous attitudes identified by the FAA? Anti-authority: “Don’t tell me” Impulsivity: “Do it quickly” Invulnerability: “It won’t happen to me” Macho: “I can do it” Resignation: “What’s the use?” Let’s look at how these five attitudes can manifest in the usage of AI by organizations. ...