Analysis: universities lack clear policies for students' use of generative AI
According to a UNESCO survey across 90 countries, fewer than one in five universities have a formal AI policy, even though almost every student uses AI. An analysis of 39 Australian IT universities showed that only one of them had clear guidelines.
An analysis summarized by The Conversation describes that the use of generative AI among university students is nearly universal in many countries, while universities with formal rules for its use are a minority. According to a UNESCO survey across 90 countries, fewer than one in five universities had a formal AI policy. A study published in July, which examined the public AI policies of 39 Australian universities teaching information and communication technology, found large differences between institutions – only one of the 39 institutions examined had specific AI guidelines.
The authors note that AI rules are often embedded in misconduct procedures rather than in assessment design itself, and tend to be vaguely worded – for example, requiring that the use of AI be "ethical, pedagogically appropriate, transparent and targeted," without further specification. Only seven of the 39 universities had a documented body (e.g., a working group) to coordinate the response to AI; handling the rules is thus often left to individual instructors, leading to inconsistency between courses.
According to the article, the discussion among researchers and policymakers has shifted from concerns about cheating to a deeper risk – that students may completely "offload" work onto AI and thus not learn the material at all, with the scale of this phenomenon difficult to estimate. Universities are responding to AI mainly by adjusting the form of exams (more in-person exams and oral presentations, where access to AI is limited), while moving away from relying on AI detectors, since they are not reliable and risk false accusations of cheating.
The article further mentions that in the European Union, attention is shifting toward developing students' ability to adapt to change (critical evaluation of information, independent decision-making about learning), and recalls Australia's 2023 assessment principles as well as a 2024 regulatory requirement for universities to submit AI action plans. The rest of the text, dealing with specific proposals for national coordination, is not available in the source.
Why it matters
It shows that higher education does not yet have a unified way to ensure that graduates have actually acquired the knowledge and skills they claim to have, because AI rules are inconsistent, vague, and often addressed only when cheating is suspected, rather than in the design of teaching and exams.
Two audiences, two different impacts
What this means
For individuals
For students, it holds that they cannot rely on clear school-wide rules – specific guidance on AI is often missing or vague, so responsibility for what they actually learn remains with them.
For a business
Companies hiring recent graduates should take into account that university assessment has not always been adapted to the use of AI, so a degree alone may not reflect a candidate's actual practical skills.
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Event sources
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