Pembetulan rekod dasar dan bukti
Publish six reviewed QS35–40 V6 corrections with explicit held/history, source scope and confidence limitations.
Kandungan ringkasan dipaparkan dalam bahasa Inggeris.
Pembetulan sejarah: bilangan dan pernyataan mencerminkan versi ini, bukan rekod terkini.
· qs35-40-v6-r3-20261022
- Australian National University (ANU) · 33 reviewed records in this revision · Lihat halaman dasar
- Rekod ditambah: 4; Rekod dibetulkan: 29; Ditangguhkan / dikecualikan daripada kesimpulan semasa: 1
Record revision, scope and original evidence
Original evidence and audience, course and unit scopes are preserved. Tracker correction time is not a policy effective date.
The records below reflect this historical version, not the current policy record or current review conclusions.
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}Previous baseline and review records- cl-australian-national-university-anu-microsoft-copilot-199 — 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.
- claim-anu-001 — 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.
- claim-anu-002a — Submitting AI-generated content as one's own work constitutes a breach of ANU's academic integrity rules (academic misconduct or poor academic practice).
- claim-anu-002b — 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.
- claim-anu-003a — Users must not use AI to collect, use, store and/or disclose personal information without the express consent of the individual(s).
- claim-anu-003b — 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.
- claim-anu-003c — 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.
- claim-anu-005a — Using AI-generated content when not permitted and claiming authorship without acknowledgment constitutes a breach of academic integrity.
- claim-anu-005b — 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.
- claim-anu-006a — 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.
- claim-anu-006c — 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.
- claim-anu-002c — 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.
- claim-anu-003d — All technical solutions being used for University business and/or on ANU managed devices must be approved by the University.
- claim-anu-004a — 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.
- claim-anu-004b — 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.
- claim-anu-004c — 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.
- claim-anu-005c — 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.
- claim-anu-006b — 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.
- claim-anu-006d — 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.
- claim-anu-011a — Generative AI is not banned at the ANU, but the validity and appropriateness of its use varies depending on context, discipline, and task requirements.
- claim-anu-011b — 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.
- claim-anu-002d — Whether AI is permitted for assessments varies across tasks, colleges, and disciplines; educators must confirm expectations with their course convenor and College ADE.
- claim-anu-005d — 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.
- claim-anu-009a — 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.
- claim-anu-011c — 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.
- claim-anu-009b — 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.
- claim-anu-007a — ANU CLT provides step-by-step guidance on designing assessments that reflect real student capabilities in the age of AI.
- claim-anu-012a — Official February 2023 ANU CLT guidance FAQ for academics on ChatGPT and generative AI tools.
- claim-anu-008a — ANU provides institutional resources for educators to make use of supported artificial intelligence tools while engaging students on best practice.
- draft-anu-013 — 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.
- draft-anu-014 — 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.
- draft-anu-015 — 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).
- draft-anu-017 — 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.
Primary legislative instrument F2021L00997 is preserved as made in July 2021 (commenced 1 December 2021). While current ANU Services learner guidance confirms ongoing operation of the 2021 Rule, independent verification that no subsequent compilation or amending rule was enacted between 2021 and 2026 is retained as an explicit temporal currentness gap.
No standalone central university-wide exam AI policy was established in this review; exam conditions depend on individual course assessment outlines and invigilator instructions.
No explicit university-wide AI policy for admissions was identified in the reviewed official corpus.