As a professor of Computer Science, I'm about ready to allow my students to use AI -- if you can't beat 'em, join 'em. But they're not going to like it, because what I'm going to do is significantly raise the bar.
For the last several years I've been allowing students (college sophomores) to do take home exams where they essentially have to build a networked system in C++. I tell them not to use AI but I have to assume they are.
Even still, the solutions are not all that great, despite unlimited time and resources, they still submit work that falls into a roughly B average. Which, if they didn't have AI, maybe that would be a C average, so perhaps the standards just need to go up. Still, it's not like they're all getting 100%.
AI is still really only as good as the person driving it, and it still, despite all the hype, hallucinates like crazy, such that if they don't pay close attention and constantly course correct, they can't expect the project to actually work.
For the last several years I've been allowing students (college sophomores) to do take home exams where they essentially have to build a networked system in C++. I tell them not to use AI but I have to assume they are.
Even still, the solutions are not all that great, despite unlimited time and resources, they still submit work that falls into a roughly B average. Which, if they didn't have AI, maybe that would be a C average, so perhaps the standards just need to go up. Still, it's not like they're all getting 100%.
AI is still really only as good as the person driving it, and it still, despite all the hype, hallucinates like crazy, such that if they don't pay close attention and constantly course correct, they can't expect the project to actually work.