A UK student’s public regret over using AI for coursework has highlighted the growing lack of imagination present in our education system when it comes to the power of AI. The BBC reported this week that a first-year student faced expulsion for using AI to complete an essay while ill with covid yet was cleared when the university’s detection software proved unreliable.
This comes as on Thursday, Google open-sourced SynthID, their new watermarking technology for AI-generated content. Unlike unreliable AI detectors marketed to educational establishments, SynthID embeds verifiable markers during content creation. While this technology will be vital for contexts requiring clear AI attribution or where understanding content provenance is critical, it should not be seen as a tool to reinforce the regressive mindset many educators have when it comes to AI. The UK’s National Education Union states on its website with the statement that AI is “complex and controversial” – a stance that betrays a surprising lack of vision.
History shows us that intellectual progress is a process of collaborative thinking and shared discovery. Darwin spent decades developing evolution theory while corresponding with contemporary naturalist Alfred Wallace. Newton’s physics built on Hooke’s prior work. Einstein’s relativity emerged through decade-long exchanges with Hilbert and Minkowski. Each stood on their predecessors’ shoulders, just as today’s students can build on AI’s capabilities to reach new heights of understanding.
AI is like having instant interactive access to all those historical correspondents and prior ideas. Large models such as Claude 3.5 and GPT-4o compress vast tracts of human knowledge into accessible form – Libraries of Alexandria that can connect and contextualise ideas instantly. They are ready and willing to collaborate on any subject at a moment’s notice for a few dollars a month. Their outputs will no doubt make it into our work, as will the ideas of many other thinkers. But any assessment process that can’t see the value of a students work without checking for this content, rewards cognitive isolation and mindless memorisation. Universities constraining this resource aren’t protecting academic integrity; they’re denying students crucial tools for future success and failing in their core mission.
Takeaways: Universities typically claim to prepare students for future careers, yet they’re denigrating the very tools those careers will require. For prospective students making choices this academic year, any gullible institution still putting faith in external AI detection tools should be immediately crossed off the list. Any that perpetuate to this short-sighted mindset around AI should also be discounted… they’re not going to survive. The real controversy isn’t students using AI – it’s institutions failing to teach students to master these tools while developing the critical thinking and analytical skills to use them effectively.