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Approved tools · Coursework · 8 more topics
Students must check with their Subject Coordinator before using GenAI for assessment-related work at the University of Melbourne.
Before using GenAI for assessment-related work, University of Melbourne students must check that their Subject Coordinator has authorised its use.
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.
At the University of Melbourne, students are expected to produce their own perspective, experience, and knowledge in assessable work rather than rely on AI output alone.
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.
Each University of Melbourne subject coordinator is responsible for setting out the bounds of appropriate GenAI use within their subject and having conversations with students for clarity.
In University of Melbourne examinations, students must verify whether GenAI use is authorised for the specific exam, and if permitted, ensure that only approved tools and specified uses are employed in alignment with University policy.
University of Melbourne students must appropriately cite any use of GenAI tools in the preparation of assessment submissions.
If students use an AI tool such as ChatGPT to generate output that is paraphrased or directly quoted in assessable writing, it must be cited and referenced as a source in the reference list.
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).
At the University of Melbourne, using GenAI tools on an assessment task that does not permit them, or using them in preparation without acknowledgement, constitutes academic misconduct under cl. 4.13 of the Student Academic Integrity Policy (MPF1310).
University of Melbourne guidance mandates that citing AI outputs in the reference list does not replace an acknowledgement declaration: students who cite or paraphrase AI outputs must still provide a declaration detailing how AI tools were used across the assessment process.
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.
Because third-party external platforms such as ChatGPT use prompts and inputs to further train their models, University of Melbourne staff must not enter assessments, teaching materials, or sensitive IP into third-party platforms, reserving such testing for SparkAI or sanctioned platforms.
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.
Researchers are advised not to share confidential information or innovation details in generative AI prompts, as that may cause IP to no longer be owned by the researcher or University.
University of Melbourne students must not upload personal information (full name, date of birth, address, or other confidential/sensitive/private information) to GenAI tools.
University of Melbourne students must protect personal information and not upload full names, dates of birth, addresses, or other confidential, sensitive or private information to GenAI tools.
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.
When uploading material to an AI tool, University of Melbourne students must ensure they do not violate creator copyright without permission.
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.
Assessments and teaching materials constitute University IP and must never be tested on third-party external platforms like ChatGPT; testing or auditing must be done only within SparkAI or sanctioned platforms.
Student interactions with LMS-embedded tools such as AILA are governed by the University LMS privacy collection notice: interaction metadata, assessment content, and system records are retained in the LMS and may be reviewed to verify authorship or investigate suspected policy breaches, accessible to authorized decision-makers.
AILA is listed for The University of Melbourne in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.
AILA is listed for The University of Melbourne in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: self_hosted_system.
SparkAI is listed for The University of Melbourne in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.
SparkAI is listed for The University of Melbourne in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: self_hosted_system.
Turnitin AI writing detection is listed for The University of Melbourne in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.
Turnitin AI writing detection is listed for The University of Melbourne in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally_licensed_or_procured.
University of Melbourne students have access to M365 Copilot Chat with their student account, supporting study with private OneDrive data protection; assessment use must follow subject rules and be properly acknowledged.
The University of Melbourne has published a Statement on Graduate Research and digital assistance tools governing the use of AI tools by Graduate Researchers.
Specific guidance for University of Melbourne researchers regarding acknowledging digital assistance tools in research outputs is available via the Research Ethics and Integrity website.
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.
Generative AI tools can only be used in research outputs if material generated or substantially altered is acknowledged according to University policy and the Australian Code for the Responsible Conduct of Research.
For graduate researchers and research theses, digital assistance and GenAI use is strictly limited to minor editorial support (language, clarity, spelling, grammar) under the Australian Standards for Editing Practice; substantial redrafting is prohibited and supervisor AI review requires explicit written permission.
Under section 5.11 of the Responsible Conduct of Research Policy (MPF1318) and University guidance, research personnel must document digital assistance tool use, disclose DAT use to collaborators and in outputs (including theses), and obtain all required privacy, security, and ethics approvals.
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.
A high AI score in Turnitin's writing detection report is not proof of misconduct and does not on its own constitute grounds for making an allegation of academic misconduct.
Under University of Melbourne student appeals procedures, appeals against academic misconduct decisions must be submitted via the online form within 20 University business days from the original decision date.
Poor academic practice refers to minor and unintentional departures managed educatively by Subject Coordinators, and is explicitly distinct from academic misconduct.
The University of Melbourne academic misconduct framework explicitly categorizes unauthorized or undisclosed use of technology (including GenAI) as a breach type under academic integrity procedures.
Turnitin AI detection results serve only as a prompt for further investigation; if suspected, students may be invited to explain their work and provide drafts or notes in an exploratory discussion.
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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.
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.
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.
University of Melbourne staff may use GenAI tools to help prepare teaching materials provided care is exercised for proper use of University IP and ethical AI use.
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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.
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.
The Melbourne CSHE provides a range of pedagogical strategies for using GenAI tools to enhance assessment tasks.
Under University guidelines on assuring learning in the age of GenAI, in most cases subjects are designed so that secure assessment types account for at least 50% of total marks, with phased implementation (2026–2028) and programmatic exceptions.
Assuring student learning requires careful use of secure assessment types at key points where student authorship can be verified, contrasted with open assessments where rules may be circumvented.
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.
The Faculty of Architecture, Building and Planning (BEL+T) provides discipline-specific guidance offering educators key concepts and definitions for generative AI in built environments.
The University of Melbourne AI Principles commit to building awareness among students and staff of their responsibilities around AI tools in work preparation and managing integrity-related risks.
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.
In its 2023 submission, the University encouraged optional government sector guidance and communities of practice to share best practice in GenAI education.
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