An editorial AI policy describes how an organisation uses AI in the content it publishes, and who stands behind it. It is part of the overall AI policy and deals specifically with communication and content.
The policy answers the questions communication professionals face every day: Which tasks may AI help with? When should a person write it themselves? Who proofreads and checks the facts? When do we tell the audience about AI use? And what must never be put into an AI tool?
Responsibility follows the sender. Whoever passes on an AI-assisted draft is responsible for having read it, checked the sources and being able to stand behind the content.
In practice
A good editorial AI policy can be read in five minutes and has concrete examples. It has a named owner and is revised when the tools change. A policy that only prohibits moves use out of sight and creates shadow AI.
Labelling is covered under AI labelling.
The concepts in this glossary run through my AI courses and workshops, where we work with them on your own tasks.

