Policy presence
Macquarie University (Sydney, Australia) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Sydney, Australia
Macquarie University (Sydney, Australia)
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
Macquarie University (Sydney, Australia) has 3 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Macquarie University (Sydney, Australia) has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Macquarie University (Sydney, Australia) has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Macquarie University (Sydney, Australia) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Macquarie University (Sydney, Australia) has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Macquarie University (Sydney, Australia) has 3 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
Macquarie University (Sydney, Australia) has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Macquarie University (Sydney, Australia) has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Macquarie University (Sydney, Australia) has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
Macquarie University (Sydney, Australia) has 1 source-backed public claim for security and procurement; deterministic analysis status: allowed.
AI tools
Microsoft Copilot
Macquarie University (Sydney, Australia)
- Tool
- Microsoft Copilot
- About
- Not specified
- Access
- Not specified
- Cost
- Not specified
- Availability
- Unknown
- Review
- Agent reviewed
- Sources
Evidence-backed claims
9 reviewed evidence-backed public claim
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 reviewed
Normalized value: unauthorised_genai_unacceptable_academic_conduct
Original evidence
Evidence 1Unacceptable 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
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 reviewed
Normalized value: ai_policy_applies_staff_students_affiliates_all_ai_uses_eight_principles
Original evidence
Evidence 1This 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 reviewed
Normalized value: research_genai_not_for_peer_review_substantive_outputs_critical_ethics_biosafety
Original evidence
Evidence 1Researchers 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 reviewed
Normalized value: assessment_open_or_observed_open_acknowledge_observed_restricted_or_prohibited
Original evidence
Evidence 1Your 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 reviewed
Normalized value: ai_tools_privacy_security_ip_intended_use_risk_assessment_controls
Original evidence
Evidence 1The 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 reviewed
Normalized value: research_genai_sensitive_data_risk_oversight_critical_review_disclosure
Original evidence
Evidence 1Researchers 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 reviewed
Normalized value: unit_guides_definitive_assessment_ai_information_ilearn_more_details
Original evidence
Evidence 1Unit 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 reviewed
Normalized value: students_should_state_ai_use_and_fact_check_ai_responses
Original evidence
Evidence 1If 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 reviewed
Normalized value: library_lists_mq_accessible_ai_tools_ai_open_check_output_acknowledge_use
Original evidence
Evidence 1Macquarie 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.
Candidate claims
0 machine or needs-review claim
Official sources
7 source attribution
Academic Integrity Policy
policies.mq.edu.au
AI and assessment
students.mq.edu.au
AI Tools at Macquarie University
students.mq.edu.au
Generative AI at MQ
libguides.mq.edu.au
Referencing generative artificial intelligence
libguides.mq.edu.au
Responsible and Ethical Use of Artificial Intelligence Policy
policies.mq.edu.au
Using Generative Artificial Intelligence in Research
policies.mq.edu.au