Policy presence
The University of Melbourne has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Parkville, Australia
The University of Melbourne has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
The University of Melbourne has 4 source-backed public claims for ai disclosure; deterministic analysis status: required.
The University of Melbourne has 4 source-backed public claims for coursework; deterministic analysis status: required.
The University of Melbourne has 1 source-backed public claim for exams; deterministic analysis status: required.
The University of Melbourne has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
The University of Melbourne has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
The University of Melbourne has 1 source-backed public claim for approved tools; deterministic analysis status: required.
The University of Melbourne has 2 source-backed public claims for named ai services; deterministic analysis status: required.
The University of Melbourne has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
The University of Melbourne has 4 source-backed public claims for research guidance; deterministic analysis status: restricted.
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
18 reviewed evidence-backed public claim
Other
Original evidence
Evidence 1If 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).
Other
Original evidence
Evidence 1A 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.
Other
Original evidence
Evidence 1Before you use GenAI for assessment-related work you must check to ensure that your Subject Coordinator has authorised its use.
Other
Original evidence
Evidence 1Since 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.
Other
Original evidence
Evidence 1Any use of GenAI in the preparation of an assessment submission must be appropriately cited.
Other
Original evidence
Evidence 1Generative 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.
Other
Original evidence
Evidence 1The 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.
Other
Original evidence
Evidence 1Protect your personal information and that of others. Do not upload your full name, date of birth, address or other confidential, sensitive or private information.
Other
Original evidence
Evidence 1Don't make copyright material available on the web or to an AI tool without permission.
Other
Original evidence
Evidence 1It 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.
Other
Original evidence
Evidence 1University IP cannot be uploaded to external sites, so if you want AI to review some of your materials, we recommend using the SparkAI platform.
Other
Original evidence
Evidence 1Use of GenAI tools should never be a substitute for staff exercising their own evaluative judgement.
Other
Original evidence
Evidence 1We should also model the transparency we are requesting from students and acknowledge the use of any GenAI tools in materials we provide to them.
Other
Original evidence
Evidence 1Student 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.
Other
Original evidence
Evidence 1The 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.
Other
Original evidence
Evidence 1This 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.
Other
Original evidence
Evidence 1To 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.
Other
Original evidence
Evidence 1Statement 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.
0 machine or needs-review claim
5 source attribution
students.unimelb.edu.au
melbourne-cshe.unimelb.edu.au
melbourne-cshe.unimelb.edu.au
about.unimelb.edu.au
msd.unimelb.edu.au