Sydney, Australia

Macquarie University (Sydney, Australia)

More policy information

Published source-based additions (10)

These tracker summaries are based on retained official-source material. Present applicability has not been independently confirmed. English summaries and original-language quotations are retained unless a checked Chinese summary is available.

Assessment permission

AI-specific provision

Site summary · original evidence below

Open assessments allow unrestricted AI use with acknowledgement expected; Observed assessments prohibit or restrict AI as set for the unit. AI-assisted preparation does not imply permission in the observed performance. Unit guides/iLearn instructions determine the actual conditions.

Scope
Students · Scope not established
Recorded topic
Assessment permission
Recorded wording strength
Descriptive statement
Original source and archived quotation
Original source and archived quotation ↗
To provide clarity for you, Macquarie has adopted a straightforward approach to providing you guidance on the use of Generative AI in assessment with two categories. Your assessment tasks will be categorised as either Open or Observed. **Open** These assessments do not restrict the application of AI tools. However, it is expected that the use of AI is acknowledged in an appropriate manner, similarly to an expectation to provide references for other resources or tools that are used in producing your work. **Observed** These tasks are either fully or partly observed or invigilated. AI use will either not be permitted or might be restricted in a particular way during the assessment. Some examples of a restricted use of AI may be: - the use AI to complete a task is observed as part of the assessment - you might be able to use AI to prepare for a task or to do part of the task, but then you complete the task without the use of AI, such as when you give a presentation. Your unit convenor will provide you with more detailed information on iLearn about any permitted use of AI in an Observed assessment.

Collected: · Lines: 29–44

Archive hash: d57e00c7526b30b5757cd7351bc8bc49d33e5223b22cfeacc43f8fe5d03a2f7b

Boundaries and concerns

General misconduct framework; not automatic consequences of AI use

Site summary · original evidence below

Poor academic practice can be dealt with educationally without finding an academic integrity breach. It is not automatically equated with disciplinary misconduct or a mandatory AI penalty.

Scope
Students · program · Coursework, nonaward, preparatory and microcredential academic-integrity breaches · Past student conduct and research activities use separate procedures
Recorded topic
Boundaries and concerns
Recorded wording strength
Descriptive statement
Original source and archived quotation
Original source and archived quotation ↗
(8) An Academic Integrity Officer will review the report and may decide to: dismiss the report if there is not enough evidence to substantiate a finding of a breach, investigate the report and either: determine that Poor Academic Practice has occurred and take action as per clause 9; determine that a breach has occurred and apply a level one outcome(s) as per clause 27; escalate the report to the Faculty Integrity Committee or the Macquarie University College (The College) Integrity Committee, or escalate the report to the Registrar for management under the Student Conduct Rule and Student Conduct Procedure. Poor Academic Practice (9) On receiving a report, an Academic Integrity Officer may determine that the student has engaged in poor academic practice but has not committed a breach, in which case they will take one or more of the following actions: warn the student that repetition of the same behaviour may constitute a breach; provide educative counselling to the student, or refer the student to educative counselling; direct the student to complete or repeat the Academic Integrity Module, and/or undertake another learning activity; and/or direct the student to re-submit the same or an alternative assessment item to be marked, in consultation with the unit convenor, (10) The Academic Integrity Officer will communicate these actions to relevant staff for action as required.

Collected: · Lines: 66–79

Archive hash: beae79e18c23fed1a33c7593a106328956bfeeaeb1ce6ed58d9c2bf8408b8e27

Investigation and response

General misconduct framework; not automatic consequences of AI use

Site summary · original evidence below

The student receives evidence/notice and may provide a written or oral response, with a five-business-day response period and reasonable extensions. The captured passage does not expressly fix the exact start event, so no automatic response-date calculator is authorised. A support person assists emotionally rather than presenting the case; a decision may proceed without response.

Scope
Students · program · Coursework, nonaward, preparatory and microcredential academic-integrity breaches · Past student conduct and research activities use separate procedures
Recorded topic
Investigation and response
Recorded wording strength
Descriptive statement
Original source and archived quotation
Original source and archived quotation ↗
(11) If the Academic Integrity Officer determines there is sufficient evidence of a breach, they will send the student a notice that: provides enough information about the report to enable the student to respond, invites the student to respond to the report either by providing a written response and/or attending a meeting to discuss the concerns raised, includes all evidence available from the report, and includes an electronic copy of the Academic Integrity Policy and this Procedure or the address of the Academic Integrity Policy and this Procedure on the University website. (12) The University will provide the student with five (5) business days to respond to the notice. Students may request an extension of time to respond; reasonable requests should be accepted. (13) A student may bring a support person to the meeting. The role of a support person is to provide emotional support and not to present the student’s case. (14) If the student does not respond to the allegation, a decision may be made in their absence.

Collected: · Lines: 81–88

Archive hash: beae79e18c23fed1a33c7593a106328956bfeeaeb1ce6ed58d9c2bf8408b8e27

General misconduct framework; not automatic consequences of AI use

Site summary · original evidence below

The procedure requires notification of a committee decision within ten business days after the committee decides. This institutional notification period is separate from student filing periods expressed as working days in the Appeals Policy.

Scope
Students · program · Coursework, nonaward, preparatory and microcredential academic-integrity breaches · Past student conduct and research activities use separate procedures
Recorded topic
Investigation and response
Recorded wording strength
Descriptive statement
Original source and archived quotation
Original source and archived quotation ↗
(23) The Deputy Dean, Education and Employability, or Associate Director, Macquarie University College, or nominee will inform the student in writing of the outcome within ten (10) business days of the Committee decision.

Collected: · Lines: 120–120

Archive hash: beae79e18c23fed1a33c7593a106328956bfeeaeb1ce6ed58d9c2bf8408b8e27

AI-specific provision

Site summary · original evidence below

The AI policy says inconsistent GenAI use MAY be investigated under the relevant existing policy. This is a possibility and referral to an appropriate framework, not a new automatic AI punishment.

Scope
Students · university · Staff, students and affiliates; all AI uses under policy, subject to relevant governing procedures
Recorded topic
Investigation and response
Recorded wording strength
possible
Original source and archived quotation
Original source and archived quotation ↗
(6) If a Student or Staff member is alleged to have used Generative AI in a manner that is inconsistent with the principles of this Policy, the University may investigate the allegation in accordance the relevant policy (i.e. Academic Integrity Policy, Staff Code of Conduct, Macquarie University Code for the Responsible Conduct of Research, Acceptable Use of IT Resources Policy).

Collected: · Lines: 74–74

Archive hash: e172e211b71015e8cdc53e3e64d359d194e8f9b491e2e05f316f96b3867cfa32

Possible outcomes

General misconduct framework; not automatic consequences of AI use

Site summary · original evidence below

Level One penalties may include warning/counselling, resubmission, capped marks or reduced/zero marks. Level Two may include a zero/fail outcome or course exclusion up to two years. Only committees impose Level Two penalties; Academic Officers impose Level One. Proportionality, circumstances and prior record affect selection, and penalties may combine.

Scope
Students · program · Coursework, nonaward, preparatory and microcredential academic-integrity breaches · Past student conduct and research activities use separate procedures
Recorded topic
Possible outcomes
Recorded wording strength
possible
Original source and archived quotation
Original source and archived quotation ↗
(26) Two levels of outcomes can be applied when a student has been found to have breached the Academic Integrity Policy: level one outcomes may be applied by an Academic Integrity Officer, or Faculty Integrity Committee or The College Integrity Committee, and level two outcomes may be applied by a Faculty Integrity Committee or The College Integrity Committee. (27) Level one outcomes are: a warning; a direction that the student has educative counselling from a specific person or service; a direction that the student complete or repeat the Academic Integrity Module, and/or undertake another learning activity; allow a corrected version of the assessment item to be submitted; allow a corrected version of the assessment item to be submitted, with a maximum grade for the assessment item being a Pass (50%); reduction of the student’s mark for the assessment item; and zero marks in the assessment item. (28) Level two outcomes are: a direction to complete or recomplete the Academic Integrity module, a direction that the student complete or repeat the Academic Integrity Module, and/or undertake another learning activity, failure in the Unit with a mark of zero (0) (FL Grade), exclusion from the course, for a period not exceeding two (2) years. (29) One or more outcomes may be applied by an Academic Integrity Officer, or Faculty Integrity Committee or The College Integrity Committee. (30) A poor academic practice or outcome decision must be proportionate to the type and circumstance of the breach. In deciding this, an Academic Integrity Officer, or Faculty Integrity Committee or The College Integrity Committee must take into account: the nature, severity and impact of the breach, the effect that the outcome or outcomes will have, any previous breaches the student has engaged in, and the student’s personal circumstances and level of experience.

Collected: · Lines: 133–154

Archive hash: beae79e18c23fed1a33c7593a106328956bfeeaeb1ce6ed58d9c2bf8408b8e27

Original source and archived quotation ↗
(31) The Academic Integrity Breach Outcomes Matrix provides advice to those responsible for determining breaches to assist in achieving a greater level of consistency in outcomes resulting from academic integrity breaches.

Collected: · Lines: 155–155

Archive hash: beae79e18c23fed1a33c7593a106328956bfeeaeb1ce6ed58d9c2bf8408b8e27

Review and appeal

General misconduct framework; not automatic consequences of AI use

Site summary · original evidence below

For an academic integrity breach not involving suspension/exclusion from the University, a student submits the prescribed written appeal within ten working days after the original decision is communicated. Working days exclude weekends, NSW public holidays and University closures. This is not the excluded Student Conduct Procedure route.

Scope
Students · university · Academic integrity BREACH appeals; academic MISCONDUCT/student conduct and research routes are excluded
Recorded topic
Review and appeal
Recorded wording strength
Descriptive statement
Original source and archived quotation
Original source and archived quotation ↗
(17) An appellant wishing to lodge an appeal against an academic or administrative decision of the University must do so via the Service Connect portal setting out the details of the grounds for appeal. (18) In their application, an appellant must: identify the original decision being appealed and attach a copy of any relevant correspondence; specify the ground or grounds for appeal and explain how each ground applies to the current appeal; and include any available evidence to support their appeal. (19) An appellant must lodge an application no later than ten (10) Working Days after the original decision has been communicated for: a breach or a sanction decision (that is not suspension or exclusion from the University) under the Academic Integrity Policy and Academic Integrity Breach Procedure;

Collected: · Lines: 101–107

Archive hash: c8a8afbc3de357134608a4471267a3775f464f33a469611eefee2c8995d0dd85

General misconduct framework; not automatic consequences of AI use

Site summary · original evidence below

For an academic integrity breach involving suspension/exclusion from the University, the Appeals Policy gives twenty working days after the original decision is communicated. Late appeals require the specified prior extension or circumstances beyond control accepted by the Registrar. Student Conduct appeals have a separate sent-date/business-day rule.

Scope
Students · university · Academic integrity BREACH appeals; academic MISCONDUCT/student conduct and research routes are excluded
Recorded topic
Review and appeal
Recorded wording strength
Descriptive statement
Original source and archived quotation
Original source and archived quotation ↗
(20) An appellant must lodge an appeal application no later than twenty (20) Working Days after the original decision has been communicated for: academic pause and exclusion under the Academic Progression Policy; exclusion under the General Coursework Rule; fitness to practice requirements under the Fitness to Practice Procedure; a sanction decision to suspend or exclude the student from the University under the Academic Integrity Policy and Academic Integrity Breach Procedure; termination of Graduate Research candidature under the Graduate Research Rule; a decision relating to the award of PhD, MPhil or MRes degrees under the Graduate Research Thesis Preparation, Submission and Examination Policy; and research degree enrolment, leave of absence and withdrawal decisions under the Graduate Research Variations to Candidature Policy. (21) Late appeal applications will be rejected unless: the appellant has requested an extension before the due date of the appeal application (by emailing [email protected]) and the Registrar approves the extended date; or the appellant can show that circumstances beyond their control have prevented them from submitting an appeal application within the applicable timeframe. In such circumstances, the Registrar will approve or deny the appeal application from being considered.

Collected: · Lines: 113–123

Archive hash: c8a8afbc3de357134608a4471267a3775f464f33a469611eefee2c8995d0dd85

General misconduct framework; not automatic consequences of AI use

Site summary · original evidence below

For applicable integrity-breach decisions, grounds include failure to follow required procedure, decisions not based on available merits, procedural unfairness including bias/no opportunity to answer/no reasons, or newly available relevant information that could not be obtained earlier. Disagreement alone does not create an appeal ground.

Scope
Students · university · Academic integrity BREACH appeals; academic MISCONDUCT/student conduct and research routes are excluded
Recorded topic
Review and appeal
Recorded wording strength
Descriptive statement
Original source and archived quotation
Original source and archived quotation ↗
(9) With the exception of academic pause or exclusion appeals, a permissible appeal against an applicable decision may only be made on the grounds that: the procedure for dealing with the matter was unfair in the circumstances because one or more of the following things occurred: the required procedure for making the decision was not followed; the decision was not based on the merits of the information available; the decision was not procedurally fair (i.e. the decision maker had a bias, and/or the appellant was not given an opportunity to respond to an allegation, and/or the reasons for the decision were not provided); and/or new and relevant information has become available that was not able to be obtained at the time of the decision and which should be taken into consideration.

Collected: · Lines: 78–83

Archive hash: c8a8afbc3de357134608a4471267a3775f464f33a469611eefee2c8995d0dd85

General misconduct framework; not automatic consequences of AI use

Site summary · original evidence below

Under Student Conduct, written appeal is addressed to the Registrar within twenty business days after the final outcome decision is SENT. Grounds include the listed procedural/evidentiary/merits defects. This is not twenty working days from receipt and is kept separate from integrity-breach appeals.

Scope
Students · university · Separate student conduct/academic misconduct route, not Academic Integrity Breach Procedure
Recorded topic
Review and appeal
Recorded wording strength
Descriptive statement
Original source and archived quotation
Original source and archived quotation ↗
(36) A student may appeal against a decision of the Student Conduct Committee or a decision of the Registrar under clause 26(b) on the following grounds: the student in relation to an investigation was not given a reasonable opportunity to provide a response to a Misconduct Allegation; an investigator in carrying out an investigation, or the decision maker in making the decision, was biased or there was a reasonable apprehension of bias against the student; an investigator in making a finding or recommendation, or the decision maker in making the decision, took an irrelevant consideration into account; an investigator in making a finding or recommendation, or the decision maker in making the decision, failed to take a relevant consideration into account; there was no evidence to justify a finding or recommendation made by an investigator or the making of the decision by the decision maker; a finding or recommendation of an investigator, or the decision maker, was made without regard to the merits of the particular case; an investigator in making a finding or recommendation, or the decision maker in making the decision, did not follow the required procedure for doing so. (37) Appeals must: be made within twenty (20) business days of the decision as to the final outcome being sent to the student; be made in writing to the Registrar; contain details of the basis for the appeal, identifying the relevant ground or grounds of appeal and providing any supporting information; contain the student’s name, email address and student identification number; and be made only after the student is sent the decision on the final outcome.

Collected: · Lines: 162–175

Archive hash: f6c5d7aa86bfdf9c63fe5218a86bfe26748ff58cac44a9b1b81383d30f2b442d

Browse additional reviewed claims

Research

Security and procurement

Reviewed record

Reviewed claims

11 reviewed claims

Academic Integrity

Macquarie's Academic Integrity Policy treats unauthorised use of generative AI in an academic exercise as unacceptable academic conduct that may lead to an academic integrity breach allegation.

Review: Agent reviewedConfidence97%

Normalized value: unauthorised_genai_unacceptable_academic_conduct

Original evidence

Evidence 1
Unacceptable Academic Conduct may lead to an allegation of an academic integrity breach... Unauthorised use of generative artificial intelligence occurs when a student uses material produced by a generative artificial intelligence in an academic exercise, without authorisation and submits it as their own work.

Localized display only

Unauthorised GenAI use is explicitly listed as unacceptable academic conduct in the Academic Integrity Policy.

Ai Tool Treatment

Microsoft Copilot Chat is listed for Macquarie University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.

Review: Agent reviewedConfidence97%

Normalized value: {"tool":"microsoft_copilot","rawToolName":"Microsoft Copilot Chat","description":"University-account Copilot Chat with Commercial Data Protection for Macquarie staff work.","howToObtain":"Staff sign in to Microsoft Copilot Chat with their University account.","costToUser":"Not specified.","availability":"conditionally_allowed","endorsementType":"officially_endorsed"}

Original evidence

Evidence 1
Macquarie's official AI notice encourages staff looking to use AI tools to sign in to Microsoft Copilot Chat with their University account and requires it for work with employee, student, health, critical or sensitive information; the University-account service includes Commercial Data Protection.

Localized display only

Macquarie's official AI notice encourages staff looking to use AI tools to sign in to Microsoft Copilot Chat with their University account and requires it for work with employee, student, health, critical or sensitive information; the University-account service includes Commercial Data Protection.

Ai Tool Treatment

MultiSearch Research Assistant is listed for Macquarie University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.

Review: Agent reviewedConfidence97%

Normalized value: {"tool":"primo_research_assistant","rawToolName":"MultiSearch Research Assistant","description":"AI-enabled natural-language search and generated overview tool in Macquarie University Library MultiSearch.","howToObtain":"Open MultiSearch, sign in with OneID, then select the Research Assistant icon.","costToUser":"Not specified.","availability":"conditionally_allowed","endorsementType":"officially_endorsed"}

Original evidence

Evidence 1
Macquarie University Library identifies MultiSearch Research Assistant as an approved MQ-provided AI-enabled tool for natural-language catalogue searching. To use it, open MultiSearch, sign in with OneID, and select the Research Assistant icon; the page identifies the product as Primo Research Assistant.

Localized display only

Macquarie University Library identifies MultiSearch Research Assistant as an approved MQ-provided AI-enabled tool for natural-language catalogue searching. To use it, open MultiSearch, sign in with OneID, and select the Research Assistant icon; the page identifies the product as Primo Research Assistant.

Ai Tool Treatment

Macquarie University's Responsible and Ethical Use of Artificial Intelligence Policy applies to staff, students, and affiliates across all uses of AI and sets eight principles for responsible and ethical AI use.

Review: Agent reviewedConfidence96%

Normalized value: ai_policy_applies_staff_students_affiliates_all_ai_uses_eight_principles

Original evidence

Evidence 1
This Policy outlines the principles that support the responsible and ethical use of Artificial Intelligence (AI) at Macquarie University. This Policy applies to all Staff, Students and Affiliates of the University, encompassing all uses of Artificial Intelligence (AI) by these groups.

Localized display only

The policy is university-wide for staff, students, and affiliates and covers all AI uses under responsible and ethical AI principles.

Research

Macquarie's research guidance says researchers must not use generative AI for peer review activities, substantive research-output content including HDR theses, or critical components of human ethics, animal ethics, or biosafety applications.

Review: Agent reviewedConfidence96%

Normalized value: research_genai_not_for_peer_review_substantive_outputs_critical_ethics_biosafety

Original evidence

Evidence 1
Researchers must not use Generative AI: to perform peer review activities; to generate substantive content of research outputs, including HDR theses; for writing the critical components of human ethics, animal ethics, or biosafety applications.

Localized display only

The research guidance sets explicit prohibited research uses for GenAI.

Academic Integrity

Macquarie student guidance categorises assessment tasks as Open or Observed: Open tasks allow generative AI with acknowledgement and student responsibility, while Observed tasks may restrict or prohibit AI use.

Review: Agent reviewedConfidence95%

Normalized value: assessment_open_or_observed_open_acknowledge_observed_restricted_or_prohibited

Original evidence

Evidence 1
Your assessment tasks will be categorised as either Open or Observed. Open assessments do not restrict the application of AI tools. However, it is expected that the use of AI is acknowledged in an appropriate manner... Observed tasks are either fully or partly observed or invigilated. AI use will either not be permitted or might be restricted in a particular way during the assessment.

Localized display only

Assessment AI permissions are task-specific: Open allows AI with acknowledgement; Observed may restrict or prohibit it.

Security Review

Macquarie's AI policy says University-provided AI tools and systems are subject to privacy, security, intellectual-property, intended-use, and risk-assessment controls.

Review: Agent reviewedConfidence94%

Normalized value: ai_tools_privacy_security_ip_intended_use_risk_assessment_controls

Original evidence

Evidence 1
The University will undertake regular assessments to ensure that the use of AI systems and tools does not compromise data security or intellectual property rights and complies with University policy. Users of AI tools and systems provided by the University must use these for their intended purpose... A risk assessment will be conducted by the Head of AI prior to the implementation of an AI system.

Localized display only

Macquarie links AI systems to security/IP checks, intended-use requirements, and risk assessment before implementation.

Privacy

Macquarie's research guidance says researchers using generative AI should mitigate sensitive-data risks, keep oversight and control, critically review outputs, and disclose or acknowledge generative AI use in research.

Review: Agent reviewedConfidence92%

Normalized value: research_genai_sensitive_data_risk_oversight_critical_review_disclosure

Original evidence

Evidence 1
Researchers must exercise care in the use of Generative AI in other aspects of their research and should... mitigate risks around the insecure storage or unauthorised re-use of sensitive data... exert oversight and control... carefully and critically review the output and results created by Generative AI... their use must be acknowledged and disclosed.

Localized display only

The research guidance requires careful controls around sensitive data, oversight, review, and disclosure of GenAI use.

Teaching

Macquarie student assessment guidance says Unit Guides are the definitive source for whether a task is Open or Observed, with iLearn providing more detailed assessment information.

Review: Agent reviewedConfidence90%

Normalized value: unit_guides_definitive_assessment_ai_information_ilearn_more_details

Original evidence

Evidence 1
Unit Guides are your definitive source for assessment information. Your unit guide will show you whether a task is Open or Observed. iLearn is typically where you'll find more comprehensive information about your assessments.

Localized display only

Students should use Unit Guides and iLearn to confirm assessment-specific AI permissions.

Academic Integrity

Macquarie Library referencing guidance says students who use generative AI in assessments should clearly state how they used it and fact-check AI responses against reliable sources.

Review: Agent reviewedConfidence88%

Normalized value: students_should_state_ai_use_and_fact_check_ai_responses

Original evidence

Evidence 1
If you use generative AI in your assessments, you should clearly state how you used it. Generative AI tools can produce inaccurate, biased, or outdated information and may collect personal data. Investigate each tool before using it and fact check all responses using reliable sources such as textbooks, peer reviewed articles, and reference works.

Localized display only

Students are told to disclose assessment AI use and verify AI outputs using reliable sources.

Ai Tool Treatment

Macquarie Library student guidance lists several MQ-accessible AI-enabled tools and tells students in AI-Open assessments to check AI output carefully and acknowledge AI use.

Review: Agent reviewedConfidence87%

Normalized value: library_lists_mq_accessible_ai_tools_ai_open_check_output_acknowledge_use

Original evidence

Evidence 1
Macquarie provides a suite of AI-enabled tools to support your learning... MQ Virtual Peer... MultiSearch Research Assistant... Web of Science Research Assistant... Studiosity... Microsoft Copilot... Adobe Express... Google Scholar Labs... While AI tools are permitted in OPEN assessment, you are responsible for the content of your assignment... Always check AI generated output carefully. Don't forget to acknowledge your use of AI.

Localized display only

The library guide frames listed tools as MQ-accessible learning supports and repeats responsibility, checking, and acknowledgement expectations.

Source record

Official sources

9 sources

Record information, JSON & citation
Reviewagent reviewedConfidence97%Snapshot statusNot publishedJSONPublic JSON

Citation: University AI Policy Tracker. "Macquarie University (Sydney, Australia) AI Policy Tracker record." Last checked July 19, 2026. https://eduaipolicy.org/universities/macquarie-university

Original university source language remains canonical. This tracker is not an official university statement.

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