October 18, 2024 at 4:00:00 PM
Karin Sugiyama '27
As AI technology continues to advance, detecting computer-generated content in schools and by educators is an increasing challenge. Sure, there are detection tools out there, but they rely on patterns that aren't always consistent. The reality is that students can easily manipulate AI to match their own writing style, making it sound more “human” and less robotic. This creates a big problem for detectors, since they’re also run by the same systems and can’t always tell the difference between human writing and that created by a machine.
Students who know their own style well can fine-tune what AI programs give them. They can adjust the tone, change the vocabulary, and edit the structure to make it sound just like their own work. This means they can navigate many of the red flags the detectors are designed to catch: for example, a student could take a basic AI-generated essay and go through it – tweaking a few phrases, adding their usual touches – and soon it’s nearly identical to what they would’ve written on their own.
On top of that, AI detection tools aren’t perfect. Since they’re driven by algorithms, detection tools sometimes miss the little quirks that make human writing unique. Everyone writes differently, with their own habits and personal styles. If a student naturally writes in a polished or organized way, how can a detector tell the difference between that and something created by AI? With so many variations in how people write, it is almost impossible to develop a tool that can always tell computer-generated writing from human writing.
Even more challenging is the fact that AI is improving every day. As it evolves, the line between what a student writes and what a computer generates will only blur further. Educators and schools will have to keep adapting, but the real question is: can anyone really tell the difference? If a student has refined an AI-generated piece so well that it feels just like their genuine voice, how can we confidently say it's not theirs?
And now for the plot twist: what if I told you that this entire article was written by AI, with just a little input from me? Were you able to tell the difference? Probably not—and that’s the whole point. It’s not just hard for AI detectors to spot the difference; it’s also tough for people. With the right adjustments, it’s very easy to produce writing that sounds just like a student’s own voice. And the more technology advances, the harder it will be to know if a piece of writing came from a machine or a human.