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Updates to this site's reviewed record, not confirmation that the university changed its policy.
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Shared V6 reading layout and evidence presentation updated. University policy Claims, original evidence, held decisions and snapshot approvals remain unchanged; the institution audit remains PARTIAL.
Records involved: 34 (29 corrected / adjusted · 4 added · 1 held)
Revision: v6-target-r7-candidate-20261021Records involved: 34 (29 corrected / adjusted · 4 added · 1 held)
Ai Tool Treatment · Source Status · 7 more topics
Submitting AI-generated content as one's own work constitutes a breach of ANU's academic integrity rules.
Submitting AI-generated content as one's own work constitutes a breach of ANU's academic integrity rules (academic misconduct or poor academic practice).
The ANU Library LibGuide references the ARC policy requiring disclosure of generative AI use in grant applications, accuracy verification, and originality compliance.
Under Australian Research Council (ARC) policy cataloged by ANU Library, researchers applying for ARC grants must ensure the integrity and accuracy of applications and must disclose any use of generative AI.
The ANU Library LibGuide catalogs major publisher policies on AI: ACM prohibits AI authorship but permits disclosed use; Nature, Science, Elsevier, IEEE, and others require disclosure of AI use in manuscripts.
Under Association for Computing Machinery (ACM) policy cataloged by ANU Library, generative AI tools such as ChatGPT may not be listed as authors of an ACM published work; AI-assisted content creation must be fully disclosed.
At ANU, using AI-generated content when not permitted and claiming authorship without acknowledgment constitutes a breach of academic integrity.
Using AI-generated content when not permitted and claiming authorship without acknowledgment constitutes a breach of academic integrity.
ANU handles suspected generative AI misuse through the same academic misconduct procedure as other integrity breaches, including giving students the opportunity to respond.
The ANU procedure for suspected misuse of generative AI is the same as for any misconduct, ensuring a student has the opportunity to respond before a formal decision is made.
ANU Law School prohibits using generative AI to draft assessment content; all submitted work must be the student's own independent and original work.
All work submitted for assessment at the ANU Law School must be the student's own independent and original work; students must not use generative AI to draft assessment content.
ANU Law School requires students to explicitly declare AI tool usage in the first footnote of submitted work, including tool names, purpose, and extent of use.
In ANU Law School, students who use AI tools must explicitly declare the application name(s), purpose of use, and extent and frequency of use; this declaration should be included in the first footnote.
ANU Law School warns that academic integrity findings related to AI misuse may have long-term consequences for law students, as misconduct must be disclosed when applying for admission to legal practice.
Using AI inappropriately may breach the Academic Integrity Rule 2021 and, for law students, may also have serious consequences for admission to legal practice as breaches must be disclosed to relevant admissions authorities.
Retained historical text; this does not mean the university repealed a rule.
ANU was developing governance document changes to require students to acknowledge any use of artificial intelligence in their work (as of early 2023).
Held / removed from current conclusionsANU CAP guidelines identify using AI-produced text as one's own, using AI to generate assignment structures, and using AI to rephrase others' work to avoid plagiarism detection as inappropriate uses that constitute academic integrity issues.
In the College of Asia & the Pacific, submitting AI-produced text as one's own is a clear breach of academic integrity; using AI to generate assignment structures or essay plans may be an integrity issue requiring course convenor guidance.
ANU Law School requires students to retain records of all prompts entered into AI tools and all outputs produced during assessment preparation, and to provide them to any academic integrity process upon the course convenor's request.
Under the ANU Academic Integrity Rule 2021 framework, suspected breaches are addressed via informal review or formal inquiry; students are entitled to written notice and a support person (such as ANUSA or Dean of Students); findings are classified into No Breach (no record), Poor Academic Practice (unintentional/careless; penalties include reprimand, re-assessment, or mark reduction up to 25% of assessment marks, or up to 10% for first 48 units of undergraduate coursework; recorded internally, not on transcript), or Academic Misconduct (serious/intentional; formal penalties up to course fail, facility denial, suspension, or exclusion).
All AI technical solutions used for ANU business or on ANU-managed devices must be approved by the university; unapproved freeware is considered a network security risk.
All technical solutions being used for University business and/or on ANU managed devices must be approved by the University.
ANU allows individual colleges and disciplines to set their own policies on whether AI is permitted for specific assessment tasks, rather than imposing a university-wide blanket rule.
Whether AI is permitted for assessments varies across tasks, colleges, and disciplines; educators must confirm expectations with their course convenor and College ADE.
ANU permits course conveners to explicitly limit or encourage generative AI use; students must check class summaries and assessment outlines for AI requirements.
Generative AI may be explicitly limited in some courses and actively encouraged in others; students should consult class summaries and assessment outlines for course-specific AI requirements.
ANU guidance acknowledges that traditional assessments like generic essays and multiple-choice tests are more vulnerable to AI misuse, and recommends redesigning tasks with authentic, specific contexts.
Traditional assessments with generic essay topics or predictable outcomes (such as multiple-choice questions or direct translation) are vulnerable to AI misuse and require thoughtful assessment design.
ANU Law School permits limited AI use for improving expression in student drafts (grammar, clarity, structure) and brainstorming ideas, provided all information is independently verified.
In ANU Law School, using AI to improve expression (such as grammar, clarity, or structure) or to help brainstorm ideas is permitted with caution, provided students verify all information independently.
ANU CAP guidelines state there is a very strong presumption against any use of generative AI or translation programs in language courses, and advise non-language students to check with convenors before using AI for translation.
In the College of Asia & the Pacific, language courses have a very strong presumption against any AI or translation tools without explicit convenor instruction; in non-language courses, translation is a creative act requiring convenor check and citation.
In the ANU College of Asia & the Pacific (CAP), language courses enforce a very strong presumption against any use of generative AI or translation programs unless explicitly authorized by a course convenor for a specific task; in non-language courses, translation is considered a creative act, requiring students to check with convenors and cite the translation tool used, while writing in native language and translating is strongly discouraged.
ANU academic staff are not permitted to upload student data or academic work to generative AI platforms.
ANU academic staff are not permitted to upload student data or academic work directly to generative AI platforms without student consent, including for the purpose of feedback or marking.
ANU prohibits using AI to collect, use, store, or disclose personal information without express consent from the individual(s).
Users must not use AI to collect, use, store and/or disclose personal information without the express consent of the individual(s).
Students retain IP ownership of their assignments at ANU; staff may not upload student work to AI platforms without express student consent.
Students retain Intellectual Property ownership of their assignments even after submission for assessment; staff are not permitted to upload student work to an AI platform without express student consent.
ANU prohibits uploading student work to AI platforms without consent, including for feedback or marking purposes, citing privacy and data security reasons.
For privacy and data security reasons, uploading student work directly into an AI platform without their consent is not permitted, including for the purpose of feedback or marking.
Microsoft Copilot is listed for Australian National University (ANU) in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
Microsoft Copilot is supported by ANU IT Services for all staff via Microsoft 365; staff enterprise tool availability does not establish permission for student assessment use.
ANU endorses Copilot Enterprise as the primary AI tool for staff and students, accessed via ANU accounts; non-endorsed tools carry security risks the university cannot guarantee.
Copilot Enterprise is an officially endorsed AI tool available for all ANU staff and students by signing in with an ANU account, ensuring personal and organizational data protection.
ANU treats generative AI as a permissible learning tool that can be cited as an information source, but强调 it is not a replacement for student thinking and originality.
Generative AI is a permissible learning tool in higher education and can be cited as an information source, but it is not a replacement for student critical thinking, original arguments, and creative output.
ANU provides Copilot Enterprise and Adobe Firefly as enterprise-licensed AI tools with data protection for staff and students using ANU accounts.
Microsoft Copilot Enterprise is available to all ANU staff and students using an ANU account with commercial data protection; Adobe Firefly enterprise access is free to all staff, but allocated to students only in specific courses and disciplines, subject to technical limitations and content generation quotas, alongside a public free tier.
ANU does not ban generative AI, but the College of Asia & the Pacific distinguishes between appropriate and inappropriate uses based on whether AI replaces or supports student skill development.
Generative AI is not banned at the ANU, but the validity and appropriateness of its use varies depending on context, discipline, and task requirements.
ANU disabled Turnitin's AI writing detection functionality as of 1 January 2024, meaning student submissions are not automatically checked for AI generation within Turnitin Feedback Studio; this does not represent a blanket ban on other AI evaluation or integrity procedures.
ANU requires that only university-approved AI solutions/software be used to ensure appropriate data governance, information security, and licensing.
All technical solutions and AI software being used for University business and/or on ANU managed devices must be approved by the University to ensure appropriate data governance, information security and licensing.
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ANU approved six institutional AI principles via Academic Board in June 2023, covering excellence/integrity, research engagement, clear guidance, AI literacy, access/privacy/security, and collaborative policy development.
ANU approved six institutional AI principles via Academic Board in June 2023, covering excellence/integrity, research engagement, clear guidance, AI literacy, access/privacy/security, and collaborative policy development.
ANU maintains a 'Generative AI and Assessment' resource collection providing step-by-step advice on designing assessments in the age of AI, covering assessment planning, evaluation, and approach determination.
ANU CLT provides step-by-step guidance on designing assessments that reflect real student capabilities in the age of AI.
ANU maintains an 'AI Essentials' resource collection for using supported AI tools while discussing best practice with students.
ANU provides institutional resources for educators to make use of supported artificial intelligence tools while engaging students on best practice.
ANU published a PDF FAQ document 'Chat GPT and other generative AI tools: What ANU academics need to know' covering ChatGPT introduction, assessment impact, and institutional response (content also referenced in ANU's blog post).
Official February 2023 ANU CLT guidance FAQ for academics on ChatGPT and generative AI tools.
Records involved: 3 (1 added)
Revision: public-release-20260715-005Records involved: 3 (1 added)
Ai Tool Treatment
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Adobe Firefly is listed for Australian National University (ANU) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
Comparable old and new text is unavailable.
Copilot Enterprise is listed for Australian National University (ANU) in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Microsoft Copilot is listed for Australian National University (ANU) in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
Records involved: 2 (2 added)
Revision: public-release-20260710-001Records involved: 2 (2 added)
Ai Tool Treatment
Adobe Firefly is listed for Australian National University (ANU) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
Copilot Enterprise is listed for Australian National University (ANU) in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
