Great paper outlining the fundamental flaws of using AI detection tools in educational institutions.

Any student accused by one of these tools should submit the paper as part of their case.

Any university using the tool is asking to get sued, with this paper being submitted as evidence.

@ccguerilla.bsky.social @nonwayne.bsky.social

The preprint of 𝙃𝙚𝙖𝙙𝙨 𝙬𝙚 𝙬𝙞𝙣, 𝙩𝙖𝙞𝙡𝙨 𝙮𝙤𝙪 𝙡𝙤𝙨𝙚: 𝘼𝙄 𝙙𝙚𝙩𝙚𝙘𝙩𝙤𝙧𝙨 𝙞𝙣 𝙚𝙙𝙪𝙘𝙖𝙩𝙞𝙤𝙣 is now available on EdArXiv.

The paper presents a definitive academic critique of AI detectors.

doi.org/10.35542/osf...

We're in a national race to build an #AI-ready workforce, but are we running in the wrong direction? 🤔

We need a national #learning agenda. A coordinated approach to addressing the numerous questions AI has raised about thinking and learning is now essential. www.linkedin.com/pulse/austra...

For a comprehensive explanation of the flaws of AI detectors and why they have no place in education, see

tinyurl.com/aidetectorsi...

Students cheating with GenAI isn’t a technical problem and thus doesn’t have a technical solution.

There’s nothing institutions can ‘buy’ that will solve this problem, process tracking included, yet the grift goes on.

It was great to have the opportunity to speak with @drmarkbassett.bsky.social on the podcast recently about this work 👇 and the excellent S.E.C.U.R.E Framework for the safe use of AI in education (& other) organisations: whatnowwhatnext.buzzsprout.com/345782/episo...

If you're looking for a video primer on the impact of generative artificial intelligence in Higher Education, with a particular focus on the Australian regulatory space, I've got you covered.

vimeo.com/1074539480

This paper consolidates a series of articles on AI detectors in education based on collaborative work with Wayne Bradshaw, Hannah Bornsztejn, Alyce Hogg, Kane Murdoch, Bridget Pearce, and Colin Webber, PFHEA.

tinyurl.com/aidetectorsi...