Callaghan, Australia

The University of Newcastle, Australia (UON)

The University of Newcastle, Australia (UON) is listed as QS 2026 rank =227. The University of Newcastle, Australia (UON) has 6 source-backed AI policy claim records from 3 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 Newcastle, Australia (UON) is listed as QS 2026 rank =227. The University of Newcastle, Australia (UON) has 6 source-backed AI policy claim records from 3 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 Newcastle, Australia (UON) as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 3 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-newcastle-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 coverage6 reviewedSource languageenPublic JSON/api/public/v1/universities/the-university-of-newcastle-australia.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • Evidence includes Privacy claims.
  • Evidence includes Research claims.
  • Named AI services detected in public claims: ChatGPT.
  • 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.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims6Reviewed6Candidate0Official sources3

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 confidence79%

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.

Approved tools

The University of Newcastle, Australia (UON) has 1 source-backed public claim for approved tools; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence1Sources1

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

6 reviewed evidence-backed public claim

Academic Integrity

For assessments, UON's GenAI teaching, learning and assessment policy says students should follow teaching-staff directions about GenAI use and appropriately disclose and reference GenAI use.

Review: Agent reviewedConfidence95%

Normalized value: students_should_follow_directions_disclose_reference_genai_assessment_use

Original evidence

Evidence 1
Students should: follow directions from teaching staff regarding the use of GenAI in assessments; and appropriately disclose and reference use of GenAI in assessments.

Academic Integrity

UON's GenAI teaching, learning and assessment policy says use of GenAI in assessment does not automatically constitute academic misconduct, but may do so where lecturers or course coordinators have explicitly prohibited it.

Review: Agent reviewedConfidence94%

Normalized value: genai_assessment_not_automatic_misconduct_if_not_prohibited

Original evidence

Evidence 1
The use of GenAI does not automatically constitute academic misconduct. However, it may constitute academic misconduct where the use of GenAI has been explicitly prohibited by lecturers and/or Course Co-ordinators.

Teaching

UON's GenAI teaching, learning and assessment policy says GenAI should not be used to mark student work unless the output is reviewed and approved by the course marker or coordinator, and any GenAI marking use must be clearly communicated with an opt-out opportunity for students.

Review: Agent reviewedConfidence94%

Normalized value: genai_marking_requires_human_review_communication_and_student_opt_out

Original evidence

Evidence 1
GenAI should not be used to mark student work unless the output is reviewed and approved by the course marker/coordinator before the output is shared with the student. Any use of generative AI in marking processes must be clearly communicated to students, with students given the opportunity to opt out of the use of GenAI in marking their work.

Privacy

UON's GenAI research guideline says researchers are responsible for protecting unpublished or sensitive work by not uploading it into online AI systems without assurance that the data will not be reused to train future models or for untraceable data use.

Review: Agent reviewedConfidence94%

Normalized value: research_sensitive_or_unpublished_work_not_uploaded_without_reuse_assurance

Original evidence

Evidence 1
Researchers are responsible for protecting unpublished or sensitive work by not uploading it into online AI systems without assurance that the data will not be re-used to train future models or for the untraceable use of data.

Research

UON's GenAI research guideline recognises legitimate and beneficial uses of GenAI in research and says researchers, including students conducting research, may use GenAI tools within appropriate operating principles.

Review: Agent reviewedConfidence93%

Normalized value: researchers_may_use_genai_within_appropriate_operating_principles

Original evidence

Evidence 1
Researchers, including students conducting research, may use generative AI tools within the bounds of appropriate operating principles

Academic Integrity

UON's AskUON student guidance says students must discuss use of ChatGPT and other AI tools with their course coordinator, particularly for work to be submitted.

Review: Agent reviewedConfidence86%

Normalized value: students_must_discuss_chatgpt_and_ai_tools_with_course_coordinator_for_submitted_work

Original evidence

Evidence 1
You must discuss use of ChatGPT (and other AI tools) with your course coordinator, particularly in relation to using these tools in the development of work to be submitted.

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

3 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 15, 2026Last changedMay 15, 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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