Change log

Macquarie University (Sydney, Australia)

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Change summary

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Macquarie University (Sydney, Australia) currently has 9 source-backed claim records and 7 official source attributions. Latest tracked changed date: May 14, 2026.

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.

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Macquarie University (Sydney, Australia) current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+18-0
11 # Macquarie University (Sydney, Australia) AI policy record
2+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.
3+Evidence (en-AU, ba4e6744829e): 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.
4+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.
5+Evidence (en-AU, 259840de6919): 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.
6+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.
7+Evidence (en-AU, 23fb461504fa): 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.
8+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.
9+Evidence (en, 847f9108a752): 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.
10+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.
11+Evidence (en-AU, 259840de6919): 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.
12+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.
13+Evidence (en-AU, 23fb461504fa): 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.
14+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.
15+Evidence (en, f959f869b857): 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.
16+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.
17+Evidence (en, 6d30563b97ba): 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.
18+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.
19+Evidence (en, cec0f7ac474c): 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.

Claim changes

9 claim records

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%Evidence1Languagesen-AU

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%Evidence1Languagesen-AU

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%Evidence1Languagesen-AU

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%Evidence1Languagesen

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%Evidence1Languagesen-AU

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%Evidence1Languagesen-AU

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%Evidence1Languagesen

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%Evidence1Languagesen

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%Evidence1Languagesen

Source snapshots

7 source attributions