Policy presence
The University of Sydney has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Sydney, Australia
The University of Sydney is listed as QS 2026 rank =25. The University of Sydney has 10 source-backed AI policy claim records from 8 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
The University of Sydney is listed as QS 2026 rank =25. The University of Sydney has 10 source-backed AI policy claim records from 8 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Deterministic source-backed dimensions derived from this record's public claims.
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
The University of Sydney has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
The University of Sydney has 5 source-backed public claims for ai disclosure; deterministic analysis status: required.
The University of Sydney has 5 source-backed public claims for coursework; deterministic analysis status: required.
The University of Sydney has 5 source-backed public claims for exams; deterministic analysis status: restricted.
The University of Sydney has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
The University of Sydney has 5 source-backed public claims for academic integrity; deterministic analysis status: restricted.
The University of Sydney has 2 source-backed public claims for approved tools; deterministic analysis status: required.
The University of Sydney has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
The University of Sydney has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
10 reviewed evidence-backed public claim
Teaching
Normalized value: ai_use_default_allowed_for_non_exam_assessments_from_2025
Original evidence
Evidence 1Except for supervised examinations and supervised in-semester tests, students may use automated writing tools or generative artificial intelligence to complete assessments, unless expressly prohibited by the unit of study coordinator.
Academic Integrity
Normalized value: ai_misuse_is_academic_integrity_breach_and_potential_contract_cheating
Original evidence
Evidence 1Clause 4(9)(2)(j)(i) states that it is an academic integrity breach to inappropriately generate content using artificial intelligence to complete an assessment task. Clause 4(13)(1)(i) states that submitting an assessment generated by AI may be considered contract cheating.
Academic Integrity
Normalized value: ai_assistance_only_if_unit_outline_permits_acknowledgment_required
Original evidence
Evidence 1Clause 5(16) (2) mentions that students may only use assistance, including automated writing tools, if the unit of study outline expressly permits it. (5)(b) mentions that students must acknowledge assistance provided when preparing submitted work, including the use of automated writing tools.
Teaching
Normalized value: two_lane_approach_secure_and_open_assessments
Original evidence
Evidence 1Secure (Lane 1) Open (Lane 2) Role of assessment Assessment of learning Assessment for and as learning Level of operation Mainly at program level Mainly at unit level Assessment security Secured, in person 'Open' / unsecured Role of generative AI May or may not be allowed by examiner As relevant, use of AI scaffolded & supported
Academic Integrity
Normalized value: ai_misuse_examples_listed_as_breach
Original evidence
Evidence 1Misusing AI can breach the Academic Integrity Policy 2022 . Examples of misuse include: Submitting AI-generated work without appropriate acknowledgment using AI where it has been prohibited in a 'secure' assessment type, such as during a secure exam inputting University teaching or course materials, content generated by another student, intellectual property from external partners, or any person's personal or health information.
Academic Integrity
Normalized value: ai_acknowledgment_required_in_assessments
Original evidence
Evidence 1If you use AI in your assessments, you're required to acknowledge it - this includes acknowledging any tools that use generative AI, such as translation tools, paraphrasing tools or referencing tools. You are not required to acknowledge tools used for word processing, or which only correct basic spelling and grammar. Failing to provide acknowledgement or any other misuse can lead to a breach of the Academic Integrity Policy 2022 .
Privacy
Normalized value: no_confidential_or_sensitive_data_in_ai_tools
Original evidence
Evidence 1Do not enter confidential, personal, proprietary or otherwise sensitive information Do not rely on the accuracy of outputs Openly acknowledge your use of AI (e.g. educators must model best practice by being transparent and clear with students about how these tools are used)
Ai Tool Treatment
Normalized value: copilot_is_provided_university_endorsed_tool
Original evidence
Evidence 1Only use University-endorsed tools like Copilot All students have free access to Microsoft Copilot for Web . Make sure that you log in with your UniKey using Okta so that you are using Copilot in protected mode, which introduces necessary guardrails within the system.
Academic Integrity
Normalized value: turnitin_ai_detector_not_sole_evidence
Original evidence
Evidence 1If a marker or teacher suspects that part or all of your assessment has been generated using AI technology and its use was not permitted, or use was not acknowledged, the Turnitin AI detection tool may be used to evaluate the situation. It's important to note that the AI detector score would not be the only evidence relied upon for an academic integrity case, but will be considered alongside other relevant evidence.
Teaching
Normalized value: coordinator_specifies_ai_tool_rules_per_assessment
Original evidence
Evidence 1Unit of study coordinators will specify if, and which, artificial intelligence (AI) tools are permitted for each assessment and how their use must be acknowledged.
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
8 source attribution
sydney.edu.au
educational-innovation.sydney.edu.au
sydney.edu.au
sydney.edu.au
educational-innovation.sydney.edu.au
sydney.edu.au
sydney.edu.au
sydney.edu.au
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