Change log

The University of Melbourne

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Change summary

Current public record freshness and review state.

The University of Melbourne currently has 18 source-backed claim records and 5 official source attributions. Latest tracked changed date: May 6, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for The University of Melbourne. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

This tracker 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.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Diff categories

Semantic classification for this release diff.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

The University of Melbourne combined release diff

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+20-0
11 # The University of Melbourne AI policy record
2+other: At the University of Melbourne, using GenAI tools to produce work submitted for assessment without acknowledgement constitutes academic misconduct under cl. 4.13 of the Student Academic Integrity Policy (MPF1310).
3+Evidence (en, 38a9f306c6e6): If an assessment task does not permit the use of such tools, or if they use such tools in the preparation of an assessment submission without acknowledgement, this constitutes academic misconduct under cl. 4.13 of the Student Academic Integrity Policy (MPF1310).
4+other: A high AI score in Turnitin's writing detection report at the University of Melbourne is not proof that academic misconduct has taken place and does not on its own constitute grounds for making an allegation of academic misconduct.
5+Evidence (en, 38a9f306c6e6): A high AI score in Turnitin's writing detection report is not proof that academic misconduct has taken place (any more than would be the case when using the more familiar similarity report tool to flag potential plagiarism). It does not, on its own, constitute grounds for making an allegation of academic misconduct.
6+other: Students must check with their Subject Coordinator before using GenAI for assessment-related work at the University of Melbourne.
7+Evidence (en, abcf41948894): Before you use GenAI for assessment-related work you must check to ensure that your Subject Coordinator has authorised its use.
8+other: University of Melbourne assessment materials and teaching materials constitute University IP and should never be tested on third-party external GenAI platforms such as ChatGPT; any such testing must be done only within the University's secure SparkAI platform.
9+Evidence (en, 38a9f306c6e6): Since assessments and other teaching materials constitute University IP, they should never be tested on third-party external platforms such as ChatGPT, since these platforms use all prompts and inputs to further train their models. Any such testing/auditing must be done only within the University's secure GenAI platform (SparkAI) or other University of Melbourne-sanctioned platforms.
10+other: University of Melbourne students must appropriately cite any use of GenAI tools in the preparation of assessment submissions.
11+Evidence (en, 38a9f306c6e6): Any use of GenAI in the preparation of an assessment submission must be appropriately cited.
12+other: At the University of Melbourne, generative AI tools can only be used in research outputs where the material generated or substantially altered by these tools is acknowledged according to the University's policy and the Australian Code for the Responsible Conduct of Research.
13+Evidence (en, 54286d0127fc): Generative AI tools can only be used if material that is generated or substantially altered by these tools is acknowledged according to the University's policy and the Australian Code for the Responsible Conduct of Research.
14+other: The University of Melbourne advises researchers that they should not share confidential information or information about an innovation in a generative AI prompt, as that may mean the IP is no longer owned by the researcher or by the University.
15+Evidence (en, 54286d0127fc): The University has advised researchers that they should not share confidential information or information about an innovation in a generative AI prompt, as that may mean that the IP is no longer owned by the researcher or by the University.
16+other: University of Melbourne students must not upload personal information (full name, date of birth, address, or other confidential/sensitive/private information) to GenAI tools.
17+Evidence (en, abcf41948894): Protect your personal information and that of others. Do not upload your full name, date of birth, address or other confidential, sensitive or private information.
18+other: University of Melbourne students must not upload copyrighted material (such as lecture slides or subject material) to AI tools without permission, as this may violate the intellectual property rights of creators.
19+Evidence (en, abcf41948894): Don't make copyright material available on the web or to an AI tool without permission.
20+other: Each University of Melbourne subject coordinator is responsible for setting out the bounds of appropriate GenAI use within their subject, and is strongly encouraged to consider possible use case scenarios, set clear boundaries, and have conversations with students.
21+Evidence (en, 38a9f306c6e6): It is the responsibility of each subject coordinator to set out the bounds of appropriate GenAI use within their subject. Coordinators are strongly encouraged to consider possible use case scenarios for their assessments, set clear boundaries, and have conversations with their students to enable clarity about what tools are appropriate and for what tasks.

Release history

0 public release diffs

Claim changes

18 claim records

other

At the University of Melbourne, using GenAI tools to produce work submitted for assessment without acknowledgement constitutes academic misconduct under cl. 4.13 of the Student Academic Integrity Policy (MPF1310).

Review: Agent reviewedConfidence98%Evidence1Languagesen

other

A high AI score in Turnitin's writing detection report at the University of Melbourne is not proof that academic misconduct has taken place and does not on its own constitute grounds for making an allegation of academic misconduct.

Review: Agent reviewedConfidence97%Evidence1Languagesen

other

Students must check with their Subject Coordinator before using GenAI for assessment-related work at the University of Melbourne.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

University of Melbourne assessment materials and teaching materials constitute University IP and should never be tested on third-party external GenAI platforms such as ChatGPT; any such testing must be done only within the University's secure SparkAI platform.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

University of Melbourne students must appropriately cite any use of GenAI tools in the preparation of assessment submissions.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

At the University of Melbourne, generative AI tools can only be used in research outputs where the material generated or substantially altered by these tools is acknowledged according to the University's policy and the Australian Code for the Responsible Conduct of Research.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

The University of Melbourne advises researchers that they should not share confidential information or information about an innovation in a generative AI prompt, as that may mean the IP is no longer owned by the researcher or by the University.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

University of Melbourne students must not upload personal information (full name, date of birth, address, or other confidential/sensitive/private information) to GenAI tools.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

University of Melbourne students must not upload copyrighted material (such as lecture slides or subject material) to AI tools without permission, as this may violate the intellectual property rights of creators.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

Each University of Melbourne subject coordinator is responsible for setting out the bounds of appropriate GenAI use within their subject, and is strongly encouraged to consider possible use case scenarios, set clear boundaries, and have conversations with students.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

The University of Melbourne states that University IP cannot be uploaded to external sites and recommends using the University's SparkAI platform when staff want AI to review University materials.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

At the University of Melbourne, use of GenAI tools for marking or grading should never be a substitute for staff exercising their own evaluative judgement.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

The University of Melbourne advises staff to model the transparency requested from students by acknowledging the use of any GenAI tools in materials provided to students.

Review: Agent reviewedConfidence92%Evidence1Languagesen

other

University of Melbourne staff should consider and provide advice on the limits of acceptable use of AI-powered translation and editing tools (e.g. Grammarly, Google Translate) in their subjects, as student use can extend to the point where students are no longer expressing their own ideas.

Review: Agent reviewedConfidence90%Evidence1Languagesen

other

The University of Melbourne recommends that universities should have autonomy over their own generative AI policies and that the Australian Government develop optional guidance for the sector on the use of generative AI in teaching, learning, assessment, and research.

Review: Agent reviewedConfidence90%Evidence1Languagesen

other

The University of Melbourne has adopted AI Principles designed to guide actions around the adoption and use of AI tools and systems across the institution.

Review: Agent reviewedConfidence90%Evidence1Languagesen

other

University of Melbourne students must produce the text, code, designs, or images they are being assessed on themselves, not via GenAI, in order to develop the skills and capabilities their degree claims they have.

Review: Agent reviewedConfidence90%Evidence1Languagesen

other

The University of Melbourne has published a Statement on Graduate Research and digital assistance tools governing the use of AI tools by Graduate Researchers.

Review: Agent reviewedConfidence85%Evidence1Languagesen

Source snapshots

5 source attributions