let people use as much ai as possible. encourage it. and as an educator, you have to learn to leverage it oneself or not (depending on the subject). and be better at using it than students if it does make one 'better'.

if ai doesn't help, then it won't help. if it does help, then you should use it. the metric is your output of whatever is being tested. writing an essay well and clearly understanding the material. solving a pset. whatever.

if you give access all the time for that, and then you test on a hard problem that could be done with or without ai, then it's fair. e.g. "clearly explain these four sentences of Y." obviously ai researching loosely and blathering isn't useful. won't be high signal / dense and correct and worthy of an 'a'. but someone who can harness ai and someone who knows the material well in the end will be rewarded the same by society. what you are testing is correctness and information density in a response. so you have to start now in accepting the reality that those who use ai to get there should be rewarded just the same as those who don't.

the burden is on educators to be as good as they can with ai if it is relevant or not if it is not relevant (and schools to fund them and ai companies to fund them if they have excess capital and are humanitarian).

and note the hard part even for us engineers at tech companies is in the correctness. it is very hard. but the sooner we start teaching how to do things correctly with ai, the more prepared the next generations will be.