Most of what we say about practical assessment and generative AI comes from the laboratory. Dance, music, drama and the media arts work differently. The performance isn’t evidence of a competence sitting behind it; it is the work. So where does GenAI actually reach? Rarely the live act. It reaches the margin of writing we have built around it: rehearsal journals, programme notes and critical commentaries that an AI tool will produce fluently without ever entering the rehearsal room.
This Practice Note argues that the commentary was never a write-up. It is where students account for their own artistic choices, and that is the claim worth protecting. Drawing on a review of GenAI in drama education (Clark-Fookes, 2025), recent studies from dance, and evidence linking AI-generated content to weaker visible authorship in creative courses (Shen et al., 2026), it shows how to anchor that account to the work: calibrated panels, process captured in the room, shorter commentaries tied to timestamps, and a short conversation in front of the recording.
You’ll also find a worked choreography example, five practical steps and a Form Check to try on your own module this term.
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