Stephen Downes

So there's some smart thinking in this post and some thinking that is, well, less so. Here's the smart bit: "Universities aren't paying for AI - they're paying for the illusion of control. Institutions are buying into the idea that if they adopt AI at scale, they can manage how students use it, integrate it seamlessly into teaching and learning, and somehow future-proof education." That rings totally right for me. But on the flip side, here is a less successful line of reasoning: "It will take years of trial and error to integrate AI effectively in our disciplines. That's assuming the technology will pause for a time. It won't. Which leaves us in a constant state of trying to adapt. So, why are we investing millions in greater access to tools no one has the bandwidth or resources to learn or integrate?" The assumption is that we (the instructors, the institution) must fully master the tool before it is useful to learners. But of course, that's not true at all.