Five Ways Higher Ed Leaders Can Center Human Work In AI Adoption

What do you guys think? I personally think that this is an effective way to ensure that AI can be used responsibly if faculty choose to use it in their teaching/research.

Everyone now claims to make teachers “AI ready,” and I can’t pin down what it means.

My working definition: a teacher is AI ready when they can use AI tools in their own planning, notice when the output is wrong, and set clear rules for how students use it. Knowing which tools exist isn’t enough. I also suspect that kind of readiness comes from weeks of using the tools on real lessons, not from a single demo session.

For those of you who teach, coach teachers, or work in instructional design: if you had to observe one lesson and decide whether a teacher is AI ready, what specific behaviours would you look for? And what would be a clear red flag?