Judgment is a disposition, habits and instincts across everything you do with AI.
Calibrated trust, not blind faith or avoidance.
Over-trust: confident prose without review. Under-trust: verify so much efficiency disappears. Aim for calibrated trust.
Core principles
- Build intuition by using the tool, noticing failure modes, and learning from mistakes.
- Three automatic questions: What must I verify? What standard does my audience require? Does this sound like me?
- MillerKnoll: Copilot in tenant; organizational data not used to train public models; permissions follow the user.
- Review before you send, especially when output sounds confident.
Check yourself
What are the three automatic questions this lesson recommends asking before using any AI output?
"What must I verify?" sets scope. "What standard does my audience require?" sets the bar. "Does this sound like me?" guards against output that is accurate but not your voice or judgment. Together they operationalize calibrated trust.
Do this in Copilot
Write three personal rules for AI use (when you always verify, what you never paste, when you decline AI). Share one with a colleague.
Paste this into Copilot Chat and work through it before moving on.
Personal AI rules
Help me draft three personal rules for using Copilot at work: one about verification, one about data I will not put in prompts, and one about when I will not use AI at all. Keep each rule one sentence and actionable.
Did you run this in Copilot? Mark complete when you have tried it.
RecordedNavigate: press j for next lesson,k for previous.