Applied improvisers face a choice: resist AI or engage with it. Developing practical AI literacy helps us understand its strengths, limits and risks, using it responsibly while keeping human judgement, presence and meaning-making at the centre of our work.
Facilitators must choose how to demo activities: themselves, a volunteer, or through instruction. Each shapes learning differently, with benefits and risks. The key is matching approach to purpose, group readiness and outcome.
Being AI literate means using it for clarity, planning and synthesis, while recognising its limits. It’s about understanding strengths and risks, and keeping human judgement, responsibility and decision-making central.
Say less, do more: facilitators can build trust and creativity by giving minimal instructions upfront, then guiding step by step as participants learn through action.
Overloading workshop participants teaches frustration, not agility.
Well-calibrated stretch builds confidence, capability and shared success – especially through improv.
