University AI Policy: What Schools and Journals Actually Allow

On 2 June 2026, the University of Sydney's page on responsible AI use still read the way it has since the university's default flipped in 2025: AI is allowed in open assessments unless a lecturer says otherwise, the reverse of where the rule stood two years earlier. A university AI policy is not a fixed document. It is a live position that moves as fast as the technology it tries to govern, which is why reading one page from one institution, then assuming it speaks for the sector, is the single most common mistake a student or a researcher makes.

This piece maps the whole landscape instead of one corner of it: what universities require for coursework, what they require for research, what journal publishers require for submission, and what the Committee on Publication Ethics says about authorship itself. Every policy quoted below is drawn from the institution's own page, read in August 2026, with the page's own revision date noted wherever it gave one.

There's no consensus to summarize here, and pretending otherwise would misrepresent the sources. Toronto bars generative AI by default. Sydney allows it by default. Both call themselves an academic integrity policy, and both are current as of 2026. This piece keeps the disagreement visible instead of editing it away. Smoothing that gap into one imagined rule would be easier to write and less accurate.

What Does a University AI Policy Actually Say?

This depends entirely on which university, and often on which assessment inside that university. The table below checks five institutions across five countries: what each one permits by default, and exactly what a student has to disclose once AI use is allowed. The disclose column is usually the more demanding one, even at the institutions that allow AI freely.

Institution	Country	Default stance	What you disclose
University of Sydney	Australia	AI allowed in open, unsupervised assessments since 2025; barred in supervised assessments unless the unit coordinator says otherwise	The AI tool's name and version, its publisher, the URL, and a description of how you used it
University of Toronto	Canada	AI barred by default in every course; using it without permission is an academic offence	Nothing by default; once an instructor grants permission, whatever that instructor specifies
Imperial College London	United Kingdom	AI allowed for coursework unless the assignment brief says otherwise, provided the submitted work is in the student's own words	The tool, its publisher, the URL, and a description of its contribution, cited like any other source
Columbia University	United States	Set centrally by the Provost, then applied school by school; Columbia Business School requires disclosure, and researchers may not enter unpublished data into a generative AI tool	Which platform was used and how, reported to the relevant school or instructor
National University of Singapore	Singapore	AI permitted if acknowledged; the Code of Student Conduct names undisclosed AI-generated content as a form of academic dishonesty	Which tool contributed, following the department's own acknowledgment guidance

Second, the penalty for the same mistake, using AI without saying so, is treated as a variant of an old problem rather than a new one: submitting help you didn't do yourself and did not name. Even though the default does not, two things hold across all five. Disclosure survives every policy that allows AI at all: no institution above lets a student use AI silently, only openly or not at all.

Why Do Coursework Rules and Research Rules Differ at the Same University?

Because they answer to different people. A coursework policy protects the grade: it exists so a mark reflects the student's own understanding, and it usually sits with a registrar, a dean of students, or an academic integrity office. A research policy protects the record: it exists so a published or submitted finding can be trusted, and it usually sits with a research ethics board, an IRB, or the office that signs off on responsible conduct of research. The same university can run both at once, worded differently, enforced by different offices, and rarely cross-referenced on the page a student actually finds.

The Columbia example is clean because the division is visible on their own webpages. The Business School has a student-facing policy that requests students to report their use of the platform and how they used it for classwork. There is also a researcher-facing policy that prohibits posting unpublished data or confidential information into any type of generative AI tool whatsoever. Finally, Teachers College's institutional review board requires researchers to disclose the use of AI as part of human subjects research approval. Three rules, one university, three different offices, and a student who only reads the undergraduate page never sees the other two.

What Do Journal and Publisher AI Policies Require?

They require disclosure almost everywhere, and they agree, without exception among the five checked for this piece, that an AI system cannot be listed as an author. Where they genuinely differ is the boundary of what counts as a disclosable use, and how strict the ban is on AI-generated images and figures.

Publisher	AI as a listed author?	What must be disclosed	One notable restriction
Elsevier	Never; authorship duties "can only be attributed to and performed by humans"	A separate declaration naming the tool and its purpose, unless the use was a basic grammar or spelling check	Generative AI cannot create or alter artwork, figures, or primary research images
Springer Nature	Never; an LLM "cannot take accountability and do not meet authorship criteria"	Acknowledged in the introduction, preface, or acknowledgements when AI helped generate text, analysis, or content	Copy editing done only for readability, grammar, or formatting does not need declaring
Wiley	Never, by name	Disclosed in the methods section, a dedicated disclosure statement, or the acknowledgements, except for spelling and grammar tools	Manuscripts cannot contain unverified AI-written sections, including an abstract or a conclusion
IEEE	Not framed as an authorship question at all; the policy is written purely as a disclosure rule	Named in the acknowledgments, with the specific AI system identified and the affected sections explained	A reviewer may not run a manuscript under review through a public AI platform
Taylor & Francis	Never; authorship carries “uniquely human responsibilities” an AI tool cannot undertake	Tool name, version, purpose and method, placed in the methods or acknowledgements, or at the proposal stage for a book	Generative AI cannot create or manipulate images, figures, or research data

The one genuinely new split in this set is IEEE, which never frames its rule as a question of authorship at all. Every other publisher above states outright that AI cannot be an author; IEEE's policy simply never raises the question, because it is written entirely as a disclosure requirement for content, whoever or whatever produced it. That is a real difference in how a policy is built, not just in what it says.

Can AI Be Listed as an Author?

No, according to every publisher named above and to the Committee on Publication Ethics, whose position on the question has stood since 13 February 2023. COPE's stated reasoning isn't really about writing quality. Authorship is partly a legal and ethical status, not just a description of who typed the sentences. An AI tool can't take responsibility for a submitted paper, cannot hold copyright, and cannot declare or deny a conflict of interest. COPE states the disclosure requirement plainly: authors who use AI tools in preparing a manuscript must disclose, in the methods section or its equivalent, how the tool was used and which tool it was. ICMJE, WAME, and the JAMA Network hold the same line, which is part of why the rule reads as settled rather than as one publisher's house style. The rule applies to anyone using any kind of writing aid when preparing a manuscript for submission. It does not matter if the writer of the text is a person or an AI program. All authors have responsibilities under the rule.

What Does an AI Disclosure Statement Actually Include?

Every policy checked for this piece, across both universities and publishers, converges on the same four pieces of information, even when they disagree on almost everything else. A usable disclosure statement names:

• The specific tool and version, not just "AI" as a category
• What it was used for: drafting, summarizing, editing, translating, or generating code or analysis
• Confirmation that a human reviewed and verified the output against the original sources
• Where the disclosure lives: a methods section, an acknowledgements line, or a dedicated statement, depending on what the target journal or course asks for

That short list matters more than the yes-or-no stance a policy takes, because a policy that permits AI but accepts a vague disclosure protects nobody, and a policy that bans AI but never checks for it protects nobody either. If your discipline expects the tool cited rather than just named in a sentence, a citation generator for AI tools formats that entry the way a reference list expects. The four items above are what a reader, an editor, or an examiner can actually verify regardless of the exact format.

Is Using an AI Humanizer Against Your University's Policy?

If you are editing an argument you actually made, not on its own. That's what every policy in the tables above covers: language editing, restructuring your own sentences, adjusting tone, varying wording. That's exactly what supervisors and copyeditors have done forever. Editing your own drafted argument with a humanizer falls into the same category, but make sure to declare it the way your institution or journal asks. TextPulse's own position on the ethical use of AI in academic writing sets out that distinction in full: editing your own work and submitting an argument you never made are different acts, and only one of them is misconduct.

The tables above make the boundary concrete in another way too. Imperial's rule that submitted work has to be in the student's own words, and Sydney's requirement to name the tool and describe how you used it, both assume the same thing: you are allowed to end up sounding like yourself, not like an unedited model output. A humanizer built for student coursework is one route to that, and the mechanics of doing it section by section, since a methodology reads differently from a discussion, are covered in a separate piece on humanizing AI text in academic writing.

What Happens If You Do Not Disclose AI Use?

It varies by institution and publisher, but it looks like this: A university detects undisclosed AI use during its review of submitted manuscripts and classifies it as an academic integrity issue (just like undisclosed help from a person). The specific policies vary; for example, the penalty could be a request for a resubmission or formal proceedings for misconduct. A journal that detects undisclosed AI use in a manuscript after accepting it has the option to correct, retract, or ask for a revised submission. An editor who suspects citations verifies those with the original sources and decides whether to accept or reject the paper. If you haven't picked a target journal yet, a journal finder that matches your manuscript to journals already publishing similar work is worth trying before you check that journal's specific policy.

None of this settles into a single rule you can memorize and reuse, and that is the point rather than a gap in the research. Check the specific page for your own institution and your own target journal before you submit anything, because the version that mattered was updated more recently than this article was.