Keeping your human judgment in the age of AI
Audience: Team members and managers who already use AI to produce, analyze, or decide.
Help your teams work with AI while keeping their own judgment. This learning path builds the ability to question answers, spot one’s own biases, and choose what to delegate. It also covers the habits that preserve human capacities, the quality of relationships, and responsibility for one’s own work.
Download the learning path overview (PDF)Key facts
- Modules
- 6 modules in a recommended order
- Duration
- ~2 h as Adaptive modules ~1 h as training videos
- Formats
- Adaptive module or training video
- Suggested pace
- one module per week
The six modules, in the recommended order
Step 1
When AI does the thinking: Keep your own judgment
Keep a critical mind about AI’s answers, by relying on confidence in your own judgment rather than on distrust.
Step 2
Better decisions: Catch the bias before it decides for you
Spot the biases that most distort decisions at work, including those that AI reinforces, and have a counter for each one.
Step 3
What to let AI decide
Decide consciously what you hand over to AI, what you decide with it, and what you keep for yourself.
Step 4
Relying on AI without losing your skills: What to keep sharp
Identify the human capacities to keep in shape, so that delegating to AI dulls neither judgment nor autonomy.
Step 5
Confiding in AI about work: Where to draw the line
Keep the right distance when AI becomes a confidant on work matters: what it brings, its limits, what you don’t share with it.
Step 6
Stay the author of your work when AI writes
Remain the author of what you produce: notice when you are only supervising AI, and cultivate what gives your contribution its value.
The composition of this learning path can be adapted to your audiences, your priorities, and the training already in place.
Discuss this learning path