I'm going through a self-paced AI intro course right now that was put up online from Carnegie Mellon University, and one of the more interesting things the professor says right up front is that while they provide a validation framework to test your homework against and they hold back some pieces of it so you have a hidden checker... There is no ethics expectation that you won't use AI on the problem and you can submit the results against the checker as often as you want.

His thinking is quite simple on this... There's absolutely nothing he could do, practically, to prevent you from feeding the questions straight to an AI and having it kick out the answers. But since this is a self-taught, self-selected course... His advice is to not do that until you get well and truly stuck, and only then will you have enough attempts built up to compare to the answer to understand the concept you're missing.

I think it's a decent middle ground for an online published self taught course. But I don't know that such an approach works in terms of, say, a Carnegie Mellon University being able to continue to charge the tuition it does for the courses that aren't self-taught.