AI detection is about transparency, not perfection
The 2025 school year is coming to a close, but the conversation focused on "AI writing" is increasing. And with this discussion comes key questions, including what is the point of a detector if it's not 100 per cent accurate? And, what is the value of a detector if the teacher has permitted some use of AI for the assignment?
The introduction of AI into the classroom is a significant challenge for educators. The prevailing view is a serious one: students are at risk of limiting their learning when using AI.
Early research is beginning to confirm fears that even students who use AI with positive intentions may be limiting their creativity and impairing their cognitive development. The brain is a muscle and needs to be exercised.
For an educator, this isn't just about learning integrity; it's about the most basic purpose of education: teaching students how to think.
Our research shows that 51 per cent of educators are worried that an overreliance on AI could reduce critical thinking skills. To prevent this, educators need to ensure there is transparency in AI use and that it's understood detection is just one piece of the puzzle.
So let's tackle the tough questions.
Why should academic institutions use an AI detector?
The quick answer is because AI detection is about more than just detecting usage. And with that philosophy, 100 per cent accuracy is never the goal, and realistically can never be achieved.
The real value comes in creating transparency in HOW the student has used AI.
Some students believe AI can enhance their studies by improving their efficiency, and institutions should shift from restricting AI use to focusing on adapting to and embracing it.
For educators, visibility into AI use helps them set assignment-specific AI policies, provide targeted guidance, and help ensure grading is fair and equitable. For students, they get a trusted space to write, and use AI responsibly. This is a win-win.
Also, let's not underestimate the power of having a detector as a deterrent to cheating. Knowing the educator or school is using a detector introduces uncertainty and risk for the student. They need to weigh the risk versus the reward of using AI in an assignment when it isn't allowed.
Detection guides, it shouldn't define
Life is full of imperfect detection.
Think of all the health screenings we do; many come with the possibilities of false positives. Or the times at the airport when the metal detector goes off for no meaningful reason. Then, there is the radar used in forecasting weather. How many times have you gone out on a walk only to find yourself in a downpour?
Yet, we don't ignore or avoid using them. These tests are tools, not meant to be used in isolation.
Similarly, AI detection is just a tool and should not be used alone to judge misuse.
Conversations, context, and educator assessment are key to helping identify where they should focus integrity conversations and help guide students on how to use the technology responsibly.
The true value of AI detection is the opportunity to understand a student's writing and learning journey.
The better approach to AI detection
AI indicators should provide valuable data for educators to take informed actions. Models should be trained on a representative sample of data spread over a period of time that includes both AI generated and authentic student writing across geographies and subject areas.
This should be done while also taking into account statistically under-represented groups such as second-language learners, English users from non-English speaking countries, students at colleges and universities with diverse enrollments, and less common subject areas including anthropology, geology, sociology, and others to minimise bias.
In short, AI indicators offer a starting point to understand a student's learning experience.
There will be students who look to cheat and the internet, combined with advances in technology, has made it easier to facilitate misconduct like collusion, contract cheating, essay mills, and AI paraphrasing to emerge.
AI detectors are one tool in the toolkit educators need to help them assess whether or not true learning is happening.
The goal for indicators is to be the most accurate interpreter of how the student uses AI, providing insight to the educator to help guide their course of action.