Over the past few years, I have tried to collect useful material to point our students to in my AI policy pages. The idea is to provide nuanced resources that explore uses and misuses and ethical concerns, and promote critical thinking and reflection.

This morning, when I came to add a new resource, I was absolutely convinced that I had a blog post about this already.

Turns out I did not. So let’s fix this once and for all.

The most important resource that I keep sharing on socials and should have been here from the get-go is

Carl Bergstrom and Jevin West's
modern-day oracles or bullshit machines?

This is, by far, the best resource I know to start reflecting critically on generative AI. While it is a course meant for the humanities, it provides such a rich variety of perspectives and reflections that I think it is a must for anyone who, one way or another, has to come directly or indirectly into contact with generative AI (which at this point means pretty much everyone).

If you stop here and spend 10 minutes a day—or even just once a week—to go through the various modules, I can consider the mission of this post accomplished.

The second resource that passed the bar of usefulness in my opinion is the free University of Sydney MOOC on AI in Education. What I liked about this is that it was written by students for students, to promote productive and responsible use of the tools as part of their learning process. While we can argue about promoting the use of AI, which I am generally not very favourable to, I quite enjoyed reading through the resource and think they did quite a good job.

Finally, I get to the new piece that put this whole post in motion: Russ Herman’s AI in Math. This is a little booklet that from my first superficial read seems quite well nuanced and well made, and explicitly targets mathematics. By the way, Russ’ website is in general full of interesting resources, have a look.