Individual conversations about AI dependency are important but insufficient. Team-level workshops create shared understanding, common language, and collective norms that make healthy AI habits easier to maintain.
Workshop objectives
A well-designed AI wellness workshop should achieve four goals: raise awareness of AI dependency patterns, help participants assess their own usage honestly, develop team agreements about healthy AI use, and provide practical strategies for maintaining cognitive independence alongside AI tool use.
Opening: The AI mirror exercise
Start by asking participants to estimate their daily AI interactions. Then reveal aggregated data from the team (collected anonymously beforehand). The gap between perception and reality is usually significant and creates an opening for honest discussion. Follow with a brief overview of how AI dependency develops and why it matters professionally.
Assessment: Personal inventory
Give participants time to individually complete an AI dependency assessment. This private reflection is more honest than group discussion. Follow with optional pair sharing — letting people discuss their results with one trusted colleague. This combination of private assessment and semi-private discussion creates safety for honest exploration.
Team agreements
Collaboratively develop team norms: which meetings are AI-free, when AI use is appropriate vs. excessive, how to handle situations where AI output is presented as individual work. These shared agreements are far more effective than top-down policies because the team has ownership of the rules.
Action planning
End with individual action plans: one specific change each person commits to making in the next two weeks. Schedule a brief follow-up to check in on progress. The combination of public commitment and scheduled accountability significantly increases follow-through.
Support your workshop with data. Our group assessment provides team-level insights.