What this record update means
Structured record overview
Records involved: 34 (29 corrected / adjusted · 4 added · 1 held)
Ai Tool Treatment · Source Status · 7 more topics
No independently reviewed summary is available for this revision yet.
This is a historical record summary, not confirmation of current permission or a new university rule.
Exams · Records involved: 1 (1 corrected / adjusted)
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−Old textSubmitting AI-generated content as one's own work constitutes a breach of ANU's academic integrity rules.
+New textSubmitting AI-generated content as one's own work constitutes a breach of ANU's academic integrity rules (academic misconduct or poor academic practice).
Research & publication · Records involved: 2 (2 corrected / adjusted)
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−Old textThe ANU Library LibGuide references the ARC policy requiring disclosure of generative AI use in grant applications, accuracy verification, and originality compliance.
+New textUnder 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.
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−Old textThe 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.
+New textUnder 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.
Academic integrity · Records involved: 9 (6 corrected / adjusted · 2 added · 1 held)
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−Old textAt ANU, using AI-generated content when not permitted and claiming authorship without acknowledgment constitutes a breach of academic integrity.
+New textUsing AI-generated content when not permitted and claiming authorship without acknowledgment constitutes a breach of academic integrity.
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−Old textANU handles suspected generative AI misuse through the same academic misconduct procedure as other integrity breaches, including giving students the opportunity to respond.
+New textThe 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.
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−Old textANU Law School prohibits using generative AI to draft assessment content; all submitted work must be the student's own independent and original work.
+New textAll 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.
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−Old textANU 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.
+New textIn 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.
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−Old textANU 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.
+New textUsing 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.
Held / removed from current conclusions
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).
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−Old textANU 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.
+New textIn 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.
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+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.
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+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).
Security and procurement · Records involved: 1 (1 corrected / adjusted)
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−Old textAll 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.
+New textAll technical solutions being used for University business and/or on ANU managed devices must be approved by the University.
Teaching · Records involved: 6 (5 corrected / adjusted · 1 added)
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−Old textANU 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.
+New textWhether AI is permitted for assessments varies across tasks, colleges, and disciplines; educators must confirm expectations with their course convenor and College ADE.
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−Old textANU permits course conveners to explicitly limit or encourage generative AI use; students must check class summaries and assessment outlines for AI requirements.
+New textGenerative 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.
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−Old textANU 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.
+New textTraditional 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.
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−Old textANU Law School permits limited AI use for improving expression in student drafts (grammar, clarity, structure) and brainstorming ideas, provided all information is independently verified.
+New textIn 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.
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−Old textANU 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.
+New textIn 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.
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+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.
Privacy · Records involved: 4 (4 corrected / adjusted)
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−Old textANU academic staff are not permitted to upload student data or academic work to generative AI platforms.
+New textANU 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.
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−Old textANU prohibits using AI to collect, use, store, or disclose personal information without express consent from the individual(s).
+New textUsers must not use AI to collect, use, store and/or disclose personal information without the express consent of the individual(s).
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−Old textStudents retain IP ownership of their assignments at ANU; staff may not upload student work to AI platforms without express student consent.
+New textStudents 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.
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−Old textANU prohibits uploading student work to AI platforms without consent, including for feedback or marking purposes, citing privacy and data security reasons.
+New textFor 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.
Ai Tool Treatment · Records involved: 6 (5 corrected / adjusted · 1 added)
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−Old textMicrosoft Copilot is listed for Australian National University (ANU) in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
+New textMicrosoft 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.
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−Old textANU 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.
+New textCopilot 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.
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−Old textANU 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.
+New textGenerative 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.
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−Old textANU provides Copilot Enterprise and Adobe Firefly as enterprise-licensed AI tools with data protection for staff and students using ANU accounts.
+New textMicrosoft 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.
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−Old textANU 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.
+New textGenerative AI is not banned at the ANU, but the validity and appropriateness of its use varies depending on context, discipline, and task requirements.
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+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.
Procurement · Records involved: 1 (1 corrected / adjusted)
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−Old textANU requires that only university-approved AI solutions/software be used to ensure appropriate data governance, information security, and licensing.
+New textAll 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.
Source Status · Records involved: 4 (4 corrected / adjusted)
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Old textANU 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.
New textANU 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.
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−Old textANU 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.
+New textANU CLT provides step-by-step guidance on designing assessments that reflect real student capabilities in the age of AI.
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−Old textANU maintains an 'AI Essentials' resource collection for using supported AI tools while discussing best practice with students.
+New textANU provides institutional resources for educators to make use of supported artificial intelligence tools while engaging students on best practice.
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−Old textANU 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).
+New textOfficial February 2023 ANU CLT guidance FAQ for academics on ChatGPT and generative AI tools.
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