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Home Research & Education

AI is hollowing out critical thinking on campus, ethicists warn

Priya Nair by Priya Nair
July 1, 2026
in Research & Education
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For most of its history, the university has sold a single, stubborn promise: come here and we will teach you how to think. Not what to think, but how, how to weigh evidence, sit with ambiguity, build an argument and dismantle a weak one. A new essay published by the ABC’s Religion & Ethics desk argues that this promise is now under quiet but serious threat, not from budget cuts or culture wars, but from the generative artificial intelligence tools that millions of students now open before they open a textbook.

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The ABC piece makes a pointed case: when a student can produce a passable essay in seconds by prompting a chatbot, the cognitive struggle that the essay was designed to provoke simply evaporates. The finished product looks the same. The learning that was supposed to happen along the way does not. If the argument holds, universities risk certifying graduates who can generate answers without ever having learned to reason.

The news

The essay lands at a moment when generative AI has moved from novelty to default across Australian campuses. Tools built on large language models are now embedded in the daily study routines of undergraduates and postgraduates alike, used for everything from summarising dense readings to drafting whole assignments. The concern raised is not simply about cheating, a well-worn worry that predates AI, but about something more corrosive: the gradual atrophy of the intellectual muscles a degree is meant to build.

The mechanism is what makes it insidious. Traditional plagiarism copied someone else’s thinking. Outsourcing to a chatbot skips the thinking entirely, producing original-looking text that no human, including the student, actually reasoned through. Detection software struggles to catch it reliably, and the temptation is enormous when deadlines pile up and the marginal cost of a machine-written draft is close to zero. The essay’s warning is that a generation could pass through university having offloaded precisely the tasks that were meant to change how their minds work.

Two ways to read the threat

Not everyone accepts the decline narrative, and the debate splits along a familiar fault line. On one side sit the sceptics of technological determinism, who point out that every major information technology, the printing press, the pocket calculator, Wikipedia, the search engine, arrived to warnings that it would rot the mind, and that each was eventually absorbed into how we learn. On this view, AI is another tool to be domesticated. The task is to redesign assessment so that thinking is rewarded and mere output is not: oral examinations, in-class writing, iterative drafts, projects that require students to defend and revise their reasoning in real time.

On the other side are those who argue this analogy is too comforting. A calculator automates arithmetic so a mathematician can concentrate on harder problems; it does not pretend to do the mathematician’s reasoning. A large language model, by contrast, targets the very faculty a humanities or social-science education exists to develop, the capacity to construct and interrogate an argument in language. If the tool does the arguing, there is no residue of skill left over for the student to keep. The ethicists’ worry is that we are automating not the drudgery around thinking, but thinking itself, and calling it efficiency.

There is a middle position gaining ground among educators: the problem is real but the solution is pedagogical, not prohibitionist. Banning the tools is unenforceable and arguably dishonest, given that graduates will use AI throughout their working lives. The more durable answer is to teach students to use it critically, to prompt, check, challenge and correct machine output rather than accept it, and to make that critical engagement the thing that gets assessed and graded.

What it means for Australia

For Australia, this is not an abstract seminar-room dispute. Higher education is one of the country’s largest export earners, and the international standing of Australian degrees rests on a perception of rigour. If employers here and overseas begin to doubt that a graduate can actually reason without a chatbot, the reputational and economic stakes are significant for a sector still rebuilding after the pandemic’s hit to international enrolments.

The country’s regulators and institutions are already circling the issue. The Tertiary Education Quality and Standards Agency has pressed universities to rethink assessment integrity in an AI world, and Universities Australia and individual institutions have issued a patchwork of guidance ranging from cautious permission to strict limits. Meanwhile, national science agency CSIRO and university researchers are among those studying both the productivity upside of these tools and their risks, giving Australia a genuine stake in getting the balance right rather than simply importing overseas policy wholesale.

The equity dimension is sharply Australian too. Students juggling paid work, long commutes from outer suburbs and regional towns, or caring responsibilities may lean hardest on AI shortcuts precisely because they have the least time, which risks widening, not narrowing, the gap between those who graduate having genuinely learned to think and those who merely learned to prompt. Any national response that ignores who is under the most pressure will miss the point.

What happens next

The likely near-term path is a scramble to redesign how learning is measured. Expect more supervised, in-person assessment, more viva-style oral defences, and more coursework that asks students to show their working, the messy intermediate drafts and reasoning that a chatbot cannot convincingly fake on demand. Some faculties will lean into AI, building it into the curriculum as a subject of study in its own right; others will retreat to the exam hall and the blue book.

What the ABC essay ultimately forces is a question universities have been able to dodge while the technology was new: if a machine can produce the artefact, what exactly is the degree certifying? The answer can no longer be the essay, the report or the code alone. It has to be the mind that made them, and proving that mind was in the room is now the central problem of Australian higher education. The debate over how to solve it is only beginning, and the choices made in the next few years will shape what an Australian degree is worth for a generation.

Sources: ABC Religion & Ethics.

Tags: artificial intelligenceChatGPTcritical thinkingHigher EducationNationalTEQSAuniversities
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Priya Nair

Priya Nair

Priya covers AI in Australia's creative industries, research and education for FluentSea.

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