Earlier quoted context omitted.
My experience as a TA is students definitely do not have the knowledge to critically verify responses.
Doesn't this make AI agents better? Given that human TAs do make mistakes a LOT, or in many cases are just unprepared (e.g. haven't done the programming assignment themselves) Human TA's have ego, AI doesn't. With proper tools, you should be able to steer an AI agent. I think both humans and AI agents both have their drawbacks and benefits. That's why the last section of the paper discusses that we even need to teach…
I have to say, I really urge you to consider the nature of your framing here.
As you can tell I am quietly (or maybe not-so-quietly) appalled by the zeitgeist around generative AI, but even if I were not, I hope I would still see that this kind of linguistic framing is insensitive and self-defeating if not wholly inappropriate and demeaning if you want to see any co-operation from educators, who are as a broad picture, tired, dedicated, hopeful people who -- unlike LLMs -- can and do place significant moral and ethical value on teaching.