1. We love AI. We don’t trust AI.

Why AI is like a brilliant new colleague who’s been here one day and why that changes how you use it.

2.You are accountable

What the high-profile AI mistakes all have in common and what it means for your work.

3. AI sounds confident even when it’s wrong

How to spot when AI is making things up, filling in gaps, or working from outdated information.

4. What you can share, and where

Three clear rules for confidential information and what to do if you accidentally share something you shouldn’t.

5. Share what you learn

Why individual vigilance isn’t enough and how sharing mistakes with your team keeps everyone safer.