Policy presence
The University of Newcastle, Australia (UON) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Callaghan, Australia
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.
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.
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.
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 Newcastle, Australia (UON) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
The University of Newcastle, Australia (UON) has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
The University of Newcastle, Australia (UON) has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
The University of Newcastle, Australia (UON) has 4 source-backed public claims for exams; deterministic analysis status: restricted.
The University of Newcastle, Australia (UON) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
The University of Newcastle, Australia (UON) has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
The University of Newcastle, Australia (UON) has 1 source-backed public claim for approved tools; deterministic analysis status: required.
The University of Newcastle, Australia (UON) has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
The University of Newcastle, Australia (UON) has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
The University of Newcastle, Australia (UON) has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
6 reviewed evidence-backed public claim
Academic Integrity
Normalized value: students_should_follow_directions_disclose_reference_genai_assessment_use
Original evidence
Evidence 1Students 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
Normalized value: genai_assessment_not_automatic_misconduct_if_not_prohibited
Original evidence
Evidence 1The 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
Normalized value: genai_marking_requires_human_review_communication_and_student_opt_out
Original evidence
Evidence 1GenAI 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
Normalized value: research_sensitive_or_unpublished_work_not_uploaded_without_reuse_assurance
Original evidence
Evidence 1Researchers 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
Normalized value: researchers_may_use_genai_within_appropriate_operating_principles
Original evidence
Evidence 1Researchers, including students conducting research, may use generative AI tools within the bounds of appropriate operating principles
Academic Integrity
Normalized value: students_must_discuss_chatgpt_and_ai_tools_with_course_coordinator_for_submitted_work
Original evidence
Evidence 1You 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.
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.
3 source attribution
policies.newcastle.edu.au
policies.newcastle.edu.au
askuon.newcastle.edu.au
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