There’s a lot out there from folks trying and suggesting and selling ways for teachers to put their fingers in the dike holding back the allegedly inevitable AI tide.

Students – and all manner of professionals – are tempted to outsource their thinking to AI, which threatens to undermine learning and credibility. A philosophy professor offers a solution.

AI-text-detectors can be evaded using simple tricks in academic writing, as repeatedly shown by folks like Dr Mike Perkins and Dr Mark A. Bassett. Advice for how to do this is abundant on YouTube, in videos aimed at students, viewed millions of times. Some videos are about how to ‘cheat’, but others have more positive titles like ‘how to study with AI’. Is there any point trying to stop students using AI to write essays? Or even any value to using asynchronous written essays as summative assessments?   New paper from the great Tomas Foltynek and some bloke called Phil Newton   https://rdcu.be/eKCko

ChatGPT and other language models can be your new study buddies.

When it comes to AI in education, I've been seeing more and more conversations pop up about how we can prevent cheating, or even if that's possible anymore. But what if, in our focus on anti-cheating practices, we're missing something deeper? Something that has been on my mind even more than the iss

Presenter: Chris Ostro, University of Colorado – BoulderDescription: In the last few years many tools have quickly emerged that can successfully complete man...

Like so many things in our world, our well-intentioned efforts to solve one problem usher in a legion of new challenges, and AI detection is no different.

Does your university or program have a statement on AI and writing? Would you drop a link below?— John Gallagher (@MereSophistry) July 11, 2023