Parkville, Australia

The University of Melbourne

The University of Melbourne is listed as QS 2026 rank 19. The University of Melbourne has 18 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Last checkedMay 6, 2026Last changedMay 6, 2026Review: Agent reviewedConfidence98%

Public JSON Citation rules Dataset access

Reviewed claims18Candidate claims0Official sources5

Candidate claims are source-backed records pending review. They are not final policy conclusions and are not legal or academic integrity advice.

Reviewed claims

18 reviewed public claim

Last changed: May 6, 2026

Original evidence

Evidence 1

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).
Source: Generative AI in T&L at the University of Melbourne

Source language: English (en)
Snapshot hash: 38a9f306c6e6483e7784e5e616122c7521ffa8ac19f085604f8ccedbc5efc3d6
Evidence locator: Section: University policies in relation to Generative AI, subsection: Are students allowed to use GenAI?

Last changed: May 6, 2026

Original evidence

Evidence 1

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.
Source: Generative AI in T&L at the University of Melbourne

Source language: English (en)
Snapshot hash: 38a9f306c6e6483e7784e5e616122c7521ffa8ac19f085604f8ccedbc5efc3d6
Evidence locator: Section: AI and assessment, subsection: What do I do if I think a student has inappropriately used GenAI on an assessment?

Last changed: May 6, 2026

Original evidence

Evidence 1

Before you use GenAI for assessment-related work you must check to ensure that your Subject Coordinator has authorised its use.
Source: GenAI at Melbourne

Source language: English (en)
Snapshot hash: abcf41948894b2245f1d8e574b503b05b140de1cac8365fd05e164adc4c152a0
Evidence locator: Section: Is it okay to use GenAI at Melbourne?

Last changed: May 6, 2026

Original evidence

Evidence 1

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.
Source: Generative AI in T&L at the University of Melbourne

Source language: English (en)
Snapshot hash: 38a9f306c6e6483e7784e5e616122c7521ffa8ac19f085604f8ccedbc5efc3d6
Evidence locator: Section: AI and assessment, subsection: Can I check whether my assessment is potentially vulnerable to GenAI?

Last changed: May 6, 2026

Original evidence

Evidence 1

Any use of GenAI in the preparation of an assessment submission must be appropriately cited.
Source: Generative AI in T&L at the University of Melbourne

Source language: English (en)
Snapshot hash: 38a9f306c6e6483e7784e5e616122c7521ffa8ac19f085604f8ccedbc5efc3d6
Evidence locator: Section: University policies in relation to Generative AI, subsection: Are students allowed to use GenAI?

Last changed: May 6, 2026

Original evidence

Evidence 1

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.
Source: UoM Submission: Inquiry into Generative AI in Education

Source language: English (en)
Snapshot hash: 54286d0127fc2d6826311ee036d374fc42248d2986de9de0cee50029e6ef2bc0
Evidence locator: Section: Challenges to research integrity

Last changed: May 6, 2026

Original evidence

Evidence 1

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.
Source: UoM Submission: Inquiry into Generative AI in Education

Source language: English (en)
Snapshot hash: 54286d0127fc2d6826311ee036d374fc42248d2986de9de0cee50029e6ef2bc0
Evidence locator: Section: Challenges to research integrity

Last changed: May 6, 2026

Original evidence

Evidence 1

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.
Source: GenAI at Melbourne

Source language: English (en)
Snapshot hash: abcf41948894b2245f1d8e574b503b05b140de1cac8365fd05e164adc4c152a0
Evidence locator: Section: Limitations and risks, subsection: Privacy

Last changed: May 6, 2026

Original evidence

Evidence 1

Don't make copyright material available on the web or to an AI tool without permission.
Source: GenAI at Melbourne

Source language: English (en)
Snapshot hash: abcf41948894b2245f1d8e574b503b05b140de1cac8365fd05e164adc4c152a0
Evidence locator: Section: Limitations and risks, subsection: Intellectual property

Last changed: May 6, 2026

Original evidence

Evidence 1

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.
Source: Generative AI in T&L at the University of Melbourne

Source language: English (en)
Snapshot hash: 38a9f306c6e6483e7784e5e616122c7521ffa8ac19f085604f8ccedbc5efc3d6
Evidence locator: Section: University policies in relation to Generative AI, subsection: Are students allowed to use GenAI?

Last changed: May 6, 2026

Original evidence

Evidence 1

University IP cannot be uploaded to external sites, so if you want AI to review some of your materials, we recommend using the SparkAI platform.
Source: Generative AI in T&L at the University of Melbourne

Source language: English (en)
Snapshot hash: 38a9f306c6e6483e7784e5e616122c7521ffa8ac19f085604f8ccedbc5efc3d6
Evidence locator: Section: University policies in relation to Generative AI, subsection: Can staff use GenAI tools to help create teaching materials?

Last changed: May 6, 2026

Original evidence

Evidence 1

Use of GenAI tools should never be a substitute for staff exercising their own evaluative judgement.
Source: Generative AI in T&L at the University of Melbourne

Source language: English (en)
Snapshot hash: 38a9f306c6e6483e7784e5e616122c7521ffa8ac19f085604f8ccedbc5efc3d6
Evidence locator: Section: University policies in relation to Generative AI, subsection: Can staff use GenAI for marking/grading of student work?

Last changed: May 6, 2026

Original evidence

Evidence 1

We should also model the transparency we are requesting from students and acknowledge the use of any GenAI tools in materials we provide to them.
Source: Generative AI in T&L at the University of Melbourne

Source language: English (en)
Snapshot hash: 38a9f306c6e6483e7784e5e616122c7521ffa8ac19f085604f8ccedbc5efc3d6
Evidence locator: Section: University policies in relation to Generative AI, subsection: Can staff use GenAI tools to help create teaching materials?

Last changed: May 6, 2026

Original evidence

Evidence 1

Student use of these tools may pose risks to academic integrity, and staff should consider and provide advice on the limits of acceptable use in their subject. Use of these tools can easily extend to the point where students are no longer expressing their own ideas or understanding of the subject matter.
Source: Generative AI in T&L at the University of Melbourne

Source language: English (en)
Snapshot hash: 38a9f306c6e6483e7784e5e616122c7521ffa8ac19f085604f8ccedbc5efc3d6
Evidence locator: Section: AI and assessment, subsection: Is it okay if students use GenAI for language translation or editing their work?

Last changed: May 6, 2026

Original evidence

Evidence 1

The Australian Government develop optional guidance for the sector on the use of generative artificial intelligence (AI) in teaching, learning, assessment, and research. However, Universities should continue to have autonomy over their own generative AI policies to ensure they are appropriate for their communities.
Source: UoM Submission: Inquiry into Generative AI in Education

Source language: English (en)
Snapshot hash: 54286d0127fc2d6826311ee036d374fc42248d2986de9de0cee50029e6ef2bc0
Evidence locator: Section: Recommendations, Recommendation 1

Last changed: May 6, 2026

Original evidence

Evidence 1

This guidance is also influenced by the University of Melbourne AI Principles, which have been designed to guide actions around the adoption and use of AI tools and systems.
Source: What Is This Guide? - Melbourne School of Design

Source language: English (en)
Snapshot hash: 421a0ca355f40fe34ecb48c739eff84060043e6ce998ffc2f00f6fd87503f419
Evidence locator: Introduction section

Last changed: May 6, 2026

Original evidence

Evidence 1

To develop these skills and capabilities, you must produce the text, code, designs or images you're being assessed on. For example, if a subject learning outcome includes 'discuss and critique', you must generate that discussion and critique – not GenAI – in order to develop those skills.
Source: GenAI at Melbourne

Source language: English (en)
Snapshot hash: abcf41948894b2245f1d8e574b503b05b140de1cac8365fd05e164adc4c152a0
Evidence locator: Section: How to use GenAI safely, subsection: Remember your value

Last changed: May 6, 2026

Original evidence

Evidence 1

Statement on Graduate Research and digital assistance tools — This page features the University's official statement about the use of digital assistance tools by Graduate Researchers.
Source: Official statements from The University of Melbourne

Source language: English (en)
Snapshot hash: 85d1ab63d2ca08727bfaed10d2234e93c5facb3b022ef5ddaf344a61e47d3aac
Evidence locator: Official statements listing page

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

5 source attribution

GenAI at Melbourne

students.unimelb.edu.au

Source URL: https://students.unimelb.edu.au/academic-skills/resources/study-skills/learning-with-genai/GenAI-at-Melbourne
Snapshot hash: abcf41948894b2245f1d8e574b503b05b140de1cac8365fd05e164adc4c152a0

Generative AI in T&L at the University of Melbourne

melbourne-cshe.unimelb.edu.au

Source URL: https://melbourne-cshe.unimelb.edu.au/resources/topics/assessment-and-feedback/specific-help/ai-in-teaching-and-learning
Snapshot hash: 38a9f306c6e6483e7784e5e616122c7521ffa8ac19f085604f8ccedbc5efc3d6

Official statements from The University of Melbourne

melbourne-cshe.unimelb.edu.au

Source URL: https://melbourne-cshe.unimelb.edu.au/ai-aai/home/ai-integrity/official-statements-from-the-university-of-melbourne
Snapshot hash: 85d1ab63d2ca08727bfaed10d2234e93c5facb3b022ef5ddaf344a61e47d3aac

UoM Submission: Inquiry into Generative AI in Education

about.unimelb.edu.au

Source URL: https://about.unimelb.edu.au/__data/assets/pdf_file/0032/396446/UoM-Submission-Inquiry-into-Generative-AI-in-Education-FINAL.pdf
Snapshot hash: 54286d0127fc2d6826311ee036d374fc42248d2986de9de0cee50029e6ef2bc0

What Is This Guide? - Melbourne School of Design

msd.unimelb.edu.au

Source URL: https://msd.unimelb.edu.au/belt/quality/generative-ai/what-is-this-guide
Snapshot hash: 421a0ca355f40fe34ecb48c739eff84060043e6ce998ffc2f00f6fd87503f419

Back to universities

University AI Policy Tracker. "The University of Melbourne AI Policy Tracker record." Last checked May 6, 2026. https://eduaipolicy.org/universities/university-of-melbourne

Versioned university record with claims, evidence, source attribution, review state, confidence, and citation fields.

5 source attribution record.

Tracker metadata is open licensed. Official source documents, page text, PDFs, and other source materials retain their original rights and terms.

Tracker metadata: CC-BY-4.0

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.

Human reviewed
Agent reviewed
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Rejected

Review state describes workflow status. Confidence is a separate machine-assessed support score.

The University of Melbourne

Citation-ready overview

Reviewed claims

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).

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.

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

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.

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

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.