Policy presence
The University of Western Australia has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Perth, Australia
The University of Western Australia is listed as QS 2026 rank 77. The University of Western Australia has 11 source-backed AI policy claim records from 9 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 Western Australia is listed as QS 2026 rank 77. The University of Western Australia has 11 source-backed AI policy claim records from 9 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists The University of Western Australia as an agent-reviewed AI policy record last checked on May 13, 2026 and last changed on May 13, 2026. The record contains 11 source-backed claims, including 11 reviewed claims, from 9 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/the-university-of-western-australia.json. The entity-level confidence is 95%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
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 Western Australia has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
The University of Western Australia has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
The University of Western Australia has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
The University of Western Australia has 5 source-backed public claims for exams; deterministic analysis status: restricted.
The University of Western Australia has 3 source-backed public claims for privacy and data entry; deterministic analysis status: required.
The University of Western Australia has 3 source-backed public claims for academic integrity; deterministic analysis status: blocked.
The University of Western Australia has 4 source-backed public claims for approved tools; deterministic analysis status: restricted.
The University of Western Australia has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
The University of Western Australia has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
The University of Western Australia has 1 source-backed public claim for security and procurement; deterministic analysis status: blocked.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
11 reviewed evidence-backed public claim
Academic Integrity
Normalized value: tier_1_ai_use_is_academic_misconduct
Original evidence
Evidence 1If your assessment is assigned Tier 1, you are not permitted to use AI in any way to complete the assessment. Tier 1 assessments must be secure to accurately show your learning. Any use of AI during a Tier 1 assessment is academic misconduct.
Ai Tool Treatment
Normalized value: assessment_ai_requires_unit_coordinator_permission_and_acknowledgement
Original evidence
Evidence 1For all coursework students AI tools may only be used in an assessment where it is explicitly permitted by your Unit Coordinator. Where it is permitted, you must always cite and reference your uses of it and provide clear acknowledgement of how AI was used.
Ai Tool Treatment
Normalized value: three_assessment_ai_use_tiers
Original evidence
Evidence 1AI Tiers that may be applied to assessment tasks by your lecturer | TIER 1: No AI | TIER 2: AI assistance or collaboration | TIER 3: Full Embedded AI
Privacy
Normalized value: do_not_input_personal_data_into_public_ai
Original evidence
Evidence 1Students at UWA should not input any personal data or information into any public AI systems (such as ChatGPT, Google Gemini, and other similar systems).
Academic Integrity
Normalized value: ai_generated_assessment_material_included_in_plagiarism_policy
Original evidence
Evidence 1Types of plagiarism include, but are not limited to, the following: using material generated by Artificial Intelligence (AI), including Generative AI and related tools in assessments;
Security Review
Normalized value: deepseek_blocked_on_uwa_managed_devices_and_networks
Original evidence
Evidence 1The University of Western Australia (UWA) has blocked access to DeepSeek services on all UWA-managed devices and networks. This decision follows directives from the Western Australian Government and the Department of Home Affairs, due to concerns about the safety and security of data shared with DeepSeek's online services.
Academic Integrity
Normalized value: ai_generated_assessment_content_must_be_referenced
Original evidence
Evidence 1You must reference all AI generated content you use in your assessments. You may be requested to show which AI tools you used for your assessment and the prompts you used to produce your work.
Research
Normalized value: ai_llm_cannot_be_authors_transparency_required
Original evidence
Evidence 1AI and other machine learning language models cannot be authors. Authors should be transparent when AI and other machine learning language models are used and provide information about how they were used.
Research
Normalized value: research_ai_inputs_must_comply_with_copyright_privacy_ethics_data_sensitivity
Original evidence
Evidence 1Authors are responsible for ensuring that all input into AI tools is suitable for uploading and processing and any use is compliant with copyright, privacy, ethics, and data sensitivity policies and legislation.
Ai Tool Treatment
Normalized value: limited_ai_editorial_assistance_with_student_responsibility
Original evidence
Evidence 1Under UWA's Academic Integrity policy, you are permitted to limited use of AI tools for broad editorial assistance in your writing. This means that you can use spelling, grammar and style checkers for basic feedback on your own written work.
Privacy
Normalized value: do_not_upload_university_ip_to_genai_without_instruction
Original evidence
Evidence 1You should never upload any of the University's intellectual property into a generative AI tool unless you are explicitly instructed to do so.
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.
9 source attribution
uwa.edu.au
guides.library.uwa.edu.au
guides.library.uwa.edu.au
ipoint.uwa.edu.au
uwa.edu.au
ipoint.uwa.edu.au
ipoint.uwa.edu.au
uwa.edu.au
ipoint.uwa.edu.au
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