AI in the Screen Industries

What AI actually is – and what it isn’t: a straightforward explanation of how generative AI works, why it can appear to understand what it’s doing, and why plausible answers aren’t necessarily reliable.

A straightforward explanation of how generative AI works, why it can appear to understand what it’s doing, and why plausible answers aren’t necessarily reliable.

Where AI is already being used in production, from transcription, logging and scheduling to drafting, research, administration and communication – including the less obvious AI already embedded in everyday tools.

What AI is genuinely good at – how to use it to remove drudgery, interrogate information, challenge your thinking and improve your work, rather than simply producing more of it, faster.

Where human judgement still matters – understanding the limits of AI when decisions depend on context, relationships, experience, accountability, safety or professional responsibility.

The risks of getting it wrong: hallucinations, overconfidence and plausible-looking mistakes – including how to manage AI use in work you supervise, review or approve.

Confidentiality, intellectual property and ownership – what to think about before putting scripts, production information, personal data or other sensitive material into an AI system, and the questions AI raises around copyright, provenance and chain of title.

AI and sustainability: separating the genuine environmental impact of AI at scale from some of the more questionable claims about the impact of individual AI use.

When making things becomes too easy: why the falling cost of creating tools, content and systems makes the question “should we do this?” increasingly important.

How to evaluate the hype: a critical look at claims about AI capabilities, automation, job replacement and even models apparently trying to “escape” – and why healthy scepticism needs to work in both directions.