AI

Large language models have made producing words remarkably easy. What remains difficult is knowing which words deserve to be trusted, adopted, revised, or acted upon.

Most conversations about AI governance understandably focus on provenance: Was AI used? Which model? How much of the document was generated? Those questions remain important. But as AI-assisted work becomes commonplace, they are becoming only part of a larger challenge.

Working well with AI is not primarily a writing problem. It is a navigation problem.

Every significant interaction with a capable model involves continual judgment. Assumptions are questioned, new possibilities emerge, evidence is weighed, directions change, and decisions are made about what to keep, reject, or pursue further. The question is no longer simply where the words came from. It is whether the people working with them remain able to explain, defend, revise, and ultimately stand behind the judgments those words embody.

This section brings together practical instruments, essays, and deeper concepts that explore how humans and increasingly capable AI systems can work together while keeping human judgment visible.

If AI is becoming one of our most powerful cognitive instruments we are leaning into, then learning to navigate with it well may become one of our most important human capabilities for us to build.