> This is already the case for educational software that's used to detect plagiarism. People get wrongly flagged, and then you'll have to plead your case.

How often is that the case though? A while since I've had to worry about it, but I thought plagiarism detection generally worked on the principle of looking for the majority of the content being literal matches with existing material out there with only a few small edits, which - unlike using some "AIish" turns of phrase a bot wrongly attributes to humans 9% of the time and correctly attributes to AI with a not much better success rate - is pretty hard to do accidentally.