Perth, Australia

The University of Western 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.

Short answer

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.

Citation-ready summary

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.

Claim coverage11 reviewedSource languageen, en-AUPublic JSON/api/public/v1/universities/the-university-of-western-australia.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Privacy claims.
  • Evidence includes Security review claims.
  • Evidence includes Research claims.
  • Named AI services detected in public claims: DeepSeek.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims11Reviewed11Candidate0Official sources9

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 score90/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence78%

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.

AI disclosure

The University of Western Australia has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence78%Evidence2Sources2

Teaching guidance

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Research guidance

The University of Western Australia has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence76%Evidence2Sources1

Security and procurement

The University of Western Australia has 1 source-backed public claim for security and procurement; deterministic analysis status: blocked.

BlockedMachine candidateConfidence77%Evidence1Sources1

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

11 reviewed evidence-backed public claim

Academic Integrity

For UWA assessments assigned Tier 1, students are not permitted to use AI in any way to complete the assessment, and any AI use during that Tier 1 assessment is treated as academic misconduct.

Review: Agent reviewedConfidence95%

Normalized value: tier_1_ai_use_is_academic_misconduct

Original evidence

Evidence 1
If 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

For UWA coursework assessments, AI tools may only be used where the Unit Coordinator explicitly permits them; permitted use must be cited, referenced, and clearly acknowledged.

Review: Agent reviewedConfidence94%

Normalized value: assessment_ai_requires_unit_coordinator_permission_and_acknowledgement

Original evidence

Evidence 1
For 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

UWA student assessment guidance describes three AI-use tiers that lecturers may apply to assessment tasks: Tier 1 no AI, Tier 2 AI assistance or collaboration, and Tier 3 fully embedded AI.

Review: Agent reviewedConfidence93%

Normalized value: three_assessment_ai_use_tiers

Original evidence

Evidence 1
AI 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

UWA's 2026 student AI guide says students should not enter personal data or information into public AI systems.

Review: Agent reviewedConfidence93%

Normalized value: do_not_input_personal_data_into_public_ai

Original evidence

Evidence 1
Students 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

UWA's Academic Integrity Policy includes using material generated by Artificial Intelligence, including generative AI and related tools, in assessments as a type of plagiarism.

Review: Agent reviewedConfidence92%

Normalized value: ai_generated_assessment_material_included_in_plagiarism_policy

Original evidence

Evidence 1
Types 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

UWA has blocked DeepSeek services on UWA-managed devices and networks because of concerns about the safety and security of data shared with DeepSeek's online services.

Review: Agent reviewedConfidence91%

Normalized value: deepseek_blocked_on_uwa_managed_devices_and_networks

Original evidence

Evidence 1
The 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

UWA askUWA guidance tells students to reference all AI-generated content used in assessments and says they may be asked to show the AI tools and prompts used.

Review: Agent reviewedConfidence90%

Normalized value: ai_generated_assessment_content_must_be_referenced

Original evidence

Evidence 1
You 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

UWA research-writing guidance states that AI and other machine-learning language models cannot be authors, and authors should transparently disclose when and how they used them.

Review: Agent reviewedConfidence90%

Normalized value: ai_llm_cannot_be_authors_transparency_required

Original evidence

Evidence 1
AI 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

UWA research-writing guidance says authors are responsible for ensuring inputs to AI tools are suitable for uploading and processing and that use complies with copyright, privacy, ethics, data-sensitivity policies, and legislation.

Review: Agent reviewedConfidence89%

Normalized value: research_ai_inputs_must_comply_with_copyright_privacy_ethics_data_sensitivity

Original evidence

Evidence 1
Authors 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

UWA askUWA guidance says limited AI editorial tools may be used for broad editorial assistance in a student's own writing, and the student remains responsible for judging whether suggestions are accurate and appropriate.

Review: Agent reviewedConfidence88%

Normalized value: limited_ai_editorial_assistance_with_student_responsibility

Original evidence

Evidence 1
Under 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

UWA Library ethical guidance says users should never upload the University's intellectual property into a generative AI tool unless explicitly instructed to do so.

Review: Agent reviewedConfidence87%

Normalized value: do_not_upload_university_ip_to_genai_without_instruction

Original evidence

Evidence 1
You should never upload any of the University's intellectual property into a generative AI tool unless you are explicitly instructed to do so.

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

9 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 13, 2026Last changedMay 13, 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.

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