Policy presence
Australian National University (ANU) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Canberra, Australia
Australian National University (ANU)
Australian National University (ANU) has 29 source-backed AI policy claims from 12 official source attributions. Review state: agent reviewed; 29 reviewed claims. Last checked May 10, 2026.
Australian National University (ANU) AI policy short answer
v1 public contract
Australian National University (ANU) has 29 source-backed AI policy claims from 12 official source attributions, including 29 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 10, 2026. Discovery context: Australian National University (ANU) is listed as QS 2026 rank =32.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Australian National University (ANU) as an agent-reviewed AI policy record last checked on May 10, 2026 and last changed on May 10, 2026. The record contains 29 source-backed claims, including 29 reviewed claims, from 12 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/anu.json. The entity-level confidence is 95%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Source status claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Procurement claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Security review claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
Australian National University (ANU) has 5 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Australian National University (ANU) has 5 source-backed public claims for coursework; deterministic analysis status: blocked.
Exams
Australian National University (ANU) has 5 source-backed public claims for exams; deterministic analysis status: blocked.
Privacy and data entry
Australian National University (ANU) has 5 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Australian National University (ANU) has 5 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
Australian National University (ANU) has 5 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Australian National University (ANU) has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Australian National University (ANU) has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Australian National University (ANU) has 5 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
Australian National University (ANU) has 4 source-backed public claims for security and procurement; deterministic analysis status: restricted.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
29 reviewed evidence-backed public claim
Source Status
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.
Review: Agent reviewed
原始证据
Evidence 1These six guiding principles on the use of artificial intelligence at the ANU were approved by the Academic Board in June 2023. We will maintain our commitment to excellence and integrity in teaching, learning, assessment and research as the applications of AI in university settings evolve.
Academic Integrity
Submitting AI-generated content as one's own work constitutes a breach of ANU's academic integrity rules.
Review: Agent reviewed
原始证据
Evidence 1Inappropriate use of AI is unacceptable and constitutes a breach of academic integrity. If students submit AI-generated content as their own work, they are not submitting original work.
Privacy
ANU academic staff are not permitted to upload student data or academic work to generative AI platforms.
Review: Agent reviewed
原始证据
Evidence 1Academic staff are not permitted to upload student data or academic work to GenAI platforms. Therefore, it is not currently possible to generate student feedback or results using student work.
Privacy
ANU prohibits using AI to collect, use, store, or disclose personal information without express consent from the individual(s).
Review: Agent reviewed
原始证据
Evidence 1Do not use AI to collect, use, store and/or disclose personal information, without the express consent of the individual(s).
Procurement
ANU requires that only university-approved AI solutions/software be used to ensure appropriate data governance, information security, and licensing.
Review: Agent reviewed
原始证据
Evidence 1Only utilise AI solution/software approved for use by the University, to ensure appropriate data governance, information security and licencing.
Privacy
Students retain IP ownership of their assignments at ANU; staff may not upload student work to AI platforms without express student consent.
Review: Agent reviewed
原始证据
Evidence 1Students retain Intellectual Property ownership of their assignments, even when they have been submitted for assessment. Therefore, staff are not permitted to upload student work to an AI platform without their express consent.
Academic Integrity
At ANU, using AI-generated content when not permitted and claiming authorship without acknowledgment constitutes a breach of academic integrity.
Review: Agent reviewed
原始证据
Evidence 1Using AI-generated content when not permitted and claiming authorship without acknowledgment constitutes a breach of academic integrity.
Privacy
ANU prohibits uploading student work to AI platforms without consent, including for feedback or marking purposes, citing privacy and data security reasons.
Review: Agent reviewed
原始证据
Evidence 1For 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.
Academic Integrity
ANU Law School prohibits using generative AI to draft assessment content; all submitted work must be the student's own independent and original work.
Review: Agent reviewed
原始证据
Evidence 1All work submitted for assessment at the ANU Law School must be your own independent and original work. This means that you must not use generative AI to draft your assessment content.
Academic Integrity
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.
Review: Agent reviewed
原始证据
Evidence 1In any piece of submitted work where you have used AI tools, you must explicitly declare: The name(s) of the application(s) used, The purpose for their use, The extent and frequency of their use. This declaration should be included in the first footnote.
Ai Tool Treatment
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.
Review: Agent reviewed
原始证据
Evidence 1Non-endorsed AI tools require you to sign up and create an account and the ANU cannot guarantee your security when using these tools. Currently, Copilot Enterprise is available for all ANU staff and students by signing in with an ANU account.
Security Review
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.
Review: Agent reviewed
原始证据
Evidence 1All technical solutions being used for University business and/or on ANU managed devices must be approved by the University. Freeware poses particular risks of inadequate information security controls and unapproved software puts the ANU network at risk.
Teaching
ANU permits course conveners to explicitly limit or encourage generative AI use; students must check class summaries and assessment outlines for AI requirements.
Review: Agent reviewed
原始证据
Evidence 1Generative AI may be explicitly limited in some courses and actively encouraged in others. You should look first at class summaries and assessment outlines for any AI requirements in the course.
Ai Tool Treatment
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.
Review: Agent reviewed
原始证据
Evidence 1Generative AI is a permissible learning tool in higher education and can be cited as an information source. However, it is important to note that Generative AI is not a replacement for your thinking and originality.
Ai Tool Treatment
ANU provides Copilot Enterprise and Adobe Firefly as enterprise-licensed AI tools with data protection for staff and students using ANU accounts.
Review: Agent reviewed
原始证据
Evidence 1Copilot Enterprise is available for all ANU staff and students by signing in with an ANU account. The main benefit of using CoPilot with an ANU account is that personal and company data is protected.
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.
Review: Agent reviewed
原始证据
Evidence 1The ANU procedure for suspected misuse of generative AI is the same as for any misconduct, which includes giving a student the opportunity to respond.
Teaching
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.
Review: Agent reviewed
原始证据
Evidence 1Using AI to improve expression in your own draft, such as grammar, clarity, or structure. Prompting AI for ideas or to help brainstorm — provided you verify all information independently.
Academic Integrity
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.
Review: Agent reviewed
原始证据
Evidence 1For law students, academic integrity findings may have long-term consequences. When applying for admission to legal practice, students must disclose any misconduct findings.
Ai Tool Treatment
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.
Review: Agent reviewed
原始证据
Evidence 1Generative AI is not banned at the ANU. However, that does not mean that all uses of these products and platforms are equally valid.
Academic Integrity
ANU 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.
Review: Agent reviewed
原始证据
Evidence 1Using AI-produced text 'as your own' — This is a clear academic integrity issue - a student doing this is passing off the work of someone/thing as their own.
Teaching
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.
Review: Agent reviewed
原始证据
Evidence 1Whether AI is permitted for assessments will vary greatly across different assessment tasks, colleges and disciplines. Educators are advised to check with their College or ADE for any College-wide advice or guidance.
Teaching
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.
Review: Agent reviewed
原始证据
Evidence 1Essays and other traditional assessments, such as quizzes and multiple-choice tests may be more vulnerable to AI misuse. An essay task with a generic or broad topic is quite vulnerable.
Research
The ANU Library LibGuide references the ARC policy requiring disclosure of generative AI use in grant applications, accuracy verification, and originality compliance.
Review: Agent reviewed
原始证据
Evidence 1The policy outlines the acceptable use of generative AI tools in the preparation and submission of grant applications to ensure integrity and transparency. Disclosure: Applicants must disclose the use of generative AI in their applications.
Academic Integrity
ANU was developing governance document changes to require students to acknowledge any use of artificial intelligence in their work (as of early 2023).
Review: Agent reviewed
原始证据
Evidence 1Minor changes to a range of relevant governance documents and academic integrity guidance for students are also being considered. Once approved, these changes are likely to require students to acknowledge any use of artificial intelligence in their work.
Teaching
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.
Review: Agent reviewed
原始证据
Evidence 1For non-language courses: Translation is not a neutral act... students should actively check with a convenor whether using generative AI or some other translation system is appropriate. For any language course: There is a very strong presumption against any use of generative AI or other translation program.
Research
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.
Review: Agent reviewed
原始证据
Evidence 1Generative AI tools and technologies, such as ChatGPT, may not be listed as authors of an ACM published Work. The use of generative AI tools and technologies to create content is permitted but must be fully disclosed in the Work.
Source Status
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.
Review: Agent reviewed
原始证据
Evidence 1Step-by-step advice on designing assessments that reflect real student capabilities in the age of AI. Rethinking assessment design in the age of GenAI.
Source Status
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).
Review: Agent reviewed
原始证据
Evidence 1Chat GPT and other generative AI tools: What ANU academics need to know. PDF covering introduction to ChatGPT, potential impact on assessment design and academic integrity, action ANU is taking, steps for course conveners.
Source Status
ANU maintains an 'AI Essentials' resource collection for using supported AI tools while discussing best practice with students.
Review: Agent reviewed
原始证据
Evidence 1Make use of supported artificial intelligence tools at ANU while speaking to students about best practice.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
12 source attribution
AI Essentials - ANU Learning and Teaching
learningandteaching.anu.edu.au
AI for learning and assessment
learningandteaching.anu.edu.au
AI Guidelines for CAP Students
asiapacific.anu.edu.au
ANU Institutional AI Principles
learningandteaching.anu.edu.au
Chat GPT and other generative AI tools: What ANU academics need to know (PDF)
learningandteaching.anu.edu.au
ChatGPT: What ANU academics need to know
learningandteaching.anu.edu.au
FAQs about AI
learningandteaching.anu.edu.au
Generative AI and Assessment - ANU Learning and Teaching
learningandteaching.anu.edu.au
Generative AI and Data Governance
anu.edu.au
Guide for students: best practice when using Generative AI
anu.edu.au
Referencing and generative AI - Artificial Intelligence including generative AI LibGuide
libguides.anu.edu.au
Use of Generative AI Tools in Assessment - ANU Law
law.anu.edu.au
Change log
Source-check timeline and diff-style claim/evidence preview.
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Corrections and missing evidence
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