Sydney, Australia

The University of Sydney

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.

Short answer

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.

Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims10Reviewed10Candidate0Official sources8

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.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence81%

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.

Privacy and data entry

The University of Sydney has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence81%Evidence2Sources2

Approved tools

The University of Sydney has 2 source-backed public claims for approved tools; deterministic analysis status: required.

RequiredMachine candidateConfidence81%Evidence2Sources2

Named AI services

The University of Sydney has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence2Sources2

Research guidance

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

10 reviewed evidence-backed public claim

Teaching

From Semester 1 2025, the default position in the University of Sydney Academic Integrity Policy has been reversed: except for supervised examinations and supervised in-semester tests, students may use automated writing tools or generative AI to complete assessments unless expressly prohibited by the unit coordinator.

Review: Agent reviewedConfidence97%

Normalized value: ai_use_default_allowed_for_non_exam_assessments_from_2025

Original evidence

Evidence 1
Except 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

The University of Sydney's Academic Integrity Policy 2022 states it is an academic integrity breach to inappropriately generate content using artificial intelligence to complete an assessment task, and submitting an assessment generated by AI may be considered contract cheating.

Review: Agent reviewedConfidence96%

Normalized value: ai_misuse_is_academic_integrity_breach_and_potential_contract_cheating

Original evidence

Evidence 1
Clause 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

The University of Sydney Academic Integrity Policy 2022 states students may only use assistance, including automated writing tools, if the unit of study outline expressly permits it, and must acknowledge assistance provided when preparing submitted work.

Review: Agent reviewedConfidence96%

Normalized value: ai_assistance_only_if_unit_outline_permits_acknowledgment_required

Original evidence

Evidence 1
Clause 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

The University of Sydney has adopted a 'two-lane approach' to assessment: Lane 1 comprises secure, in-person supervised assessments to assure learning, and Lane 2 comprises open assessments that support and scaffold the use of all available and relevant tools including generative AI.

Review: Agent reviewedConfidence96%

Normalized value: two_lane_approach_secure_and_open_assessments

Original evidence

Evidence 1
Secure (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

University of Sydney guidance states that misusing generative AI can breach the Academic Integrity Policy 2022, with examples including using AI in assessments where prohibited, submitting AI-generated work without acknowledgment, and inputting University teaching materials or personal information into AI tools.

Review: Agent reviewedConfidence96%

Normalized value: ai_misuse_examples_listed_as_breach

Original evidence

Evidence 1
Misusing 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

University of Sydney states that students who use AI in assessments are required to acknowledge it, including any tools that use generative AI such as translation tools, paraphrasing tools or referencing tools; failing to provide acknowledgement can lead to a breach of the Academic Integrity Policy 2022.

Review: Agent reviewedConfidence96%

Normalized value: ai_acknowledgment_required_in_assessments

Original evidence

Evidence 1
If 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

The University of Sydney's generative AI guardrails state that confidential, personal, proprietary, or otherwise sensitive information should not be entered into AI tools.

Review: Agent reviewedConfidence95%

Normalized value: no_confidential_or_sensitive_data_in_ai_tools

Original evidence

Evidence 1
Do 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

The University of Sydney provides all students free access to Microsoft Copilot for Web, and recommends using University-endorsed tools like Copilot with protected mode via UniKey login rather than public AI tools.

Review: Agent reviewedConfidence95%

Normalized value: copilot_is_provided_university_endorsed_tool

Original evidence

Evidence 1
Only 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

The University of Sydney advises that Turnitin's AI detection tool may be used if a marker suspects AI-generated work where its use was not permitted or not acknowledged, but the AI detector score would not be the only evidence relied upon for an academic integrity case.

Review: Agent reviewedConfidence95%

Normalized value: turnitin_ai_detector_not_sole_evidence

Original evidence

Evidence 1
If 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

The University of Sydney Assessment Procedures state that unit of study coordinators will specify if, and which, artificial intelligence tools are permitted for each assessment and how their use must be acknowledged.

Review: Agent reviewedConfidence95%

Normalized value: coordinator_specifies_ai_tool_rules_per_assessment

Original evidence

Evidence 1
Unit of study coordinators will specify if, and which, artificial intelligence (AI) tools are permitted for each assessment and how their use must be acknowledged.

Candidate claims

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.

Official sources

8 source attribution

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

Last checkedMay 10, 2026Last changedMay 10, 2026Open change log

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

Back to universities