AI in production

Our position

AI is reaching set through logging, metadata and previs. We teach it like everything else: on a working unit, on real tasks, beside the people who do the job. Where it saves hours, where it fails, how to check it, and how to keep rushes and other people's data safe.

Three rules don't bend.

Consent. No one's face, voice or performance is scanned, cloned or altered without their informed, written agreement.
Credit. People are credited for their work, and AI use is declared where it matters.
Judgement. A person signs off every frame, edit and mix.

We follow industry standards rather than writing our own, including Pact's principles on generative AI and the ScreenSkills-accredited Responsible AI training.

Why it matters to us

AI is changing the jobs. We want the people we train to get the new ones.

Film to digital to virtual production: every shift created new roles, and people without the training were locked out. AI is a tool for skilled crew, not a replacement, and we want that crew from every background. So our training is fully funded.

Three habits we teach

Habit	What it means on a working day
Check	Every output is a draft. Transcripts mishear, schedules break turnaround, frames carry the wrong sign or face. A person checks before it moves on.
Consent	Specific, written, informed consent before anyone's likeness, voice or performance is captured or changed. A general release isn't enough.
Credit	Name the people who made the work, and record where a tool was used: which tool, which version, on what material, signed off by whom.

Our course, AI in production, is where this becomes practice. Nothing in this section is legal advice.

We are pro-AI, and we teach it from the floor.

Our position

AI is changing the jobs. We want the people we train to get the new ones.

Three habits we teach

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