Policy presence
University of Wollongong has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Wollongong, Australia
University of Wollongong is listed as QS 2026 rank =184. University of Wollongong has 7 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
University of Wollongong is listed as QS 2026 rank =184. University of Wollongong has 7 source-backed AI policy claim records from 6 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 University of Wollongong as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 6 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-wollongong.json. The entity-level confidence is 96%. 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.
University of Wollongong has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Wollongong has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
University of Wollongong has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Wollongong has 5 source-backed public claims for exams; deterministic analysis status: restricted.
University of Wollongong has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
University of Wollongong has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
University of Wollongong has 2 source-backed public claims for approved tools; deterministic analysis status: required.
University of Wollongong has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of Wollongong has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
University of Wollongong has 1 source-backed public claim for security and procurement; deterministic analysis status: recommended.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
7 reviewed evidence-backed public claim
Teaching
Normalized value: subject_outline_must_include_genai_use_statement
Original evidence
Evidence 1A statement that indicates whether and how generative artificial intelligence tools can be used in the subject, including in relation to each assessment task.
Privacy
Normalized value: staff_no_upload_student_work_to_third_party_genai
Original evidence
Evidence 1It is important that such processes and technologies are institutionally supported and ethical in accord with associated privacy and data policies (e.g. staff are not permitted to upload student work to third party tools, including generative artificial intelligence (GenAI) or misconduct detection software).
Academic Integrity
Normalized value: academic_integrity_policy_genai_misuse_definition
Original evidence
Evidence 1Misuse of Generative Artificial Intelligence Technology Using work (e.g. assignment, essay, exam paper, research paper, creative project, data) generated by an unauthorised artificial intelligence (AI) tool in an assessment without permission from the subject coordinator; Using work generated by an artificial intelligence (AI) tool in an assessment where this is permitted, but without appropriate acknowledgement.
Academic Integrity
Normalized value: misuse_constitutes_academic_misconduct
Original evidence
Evidence 1Misuse of gen AI in assessments includes using gen AI where it is prohibited or using it beyond the scope set out in the assessment instructions. Misuse of gen AI in assessments constitutes academic misconduct (as specified by University Policy).
Ai Tool Treatment
Normalized value: subject_specific_permission_and_acknowledgement
Original evidence
Evidence 1Before using gen AI for an assessment task, make sure you check your Subject Outline and/or subject Moodle site to see to what extent gen AI may be used and associated instructions regarding acknowledgement.
Privacy
Normalized value: copilot_recommended_enterprise_data_protection
Original evidence
Evidence 1UOW recommends Copilot due to its Enterprise Data Protection policy, which means that your prompts and responses are encrypted and not retained by Microsoft to train its products.
Teaching
Normalized value: educator_guidance_discuss_and_allow_appropriate_ai_use
Original evidence
Evidence 1Therefore, academics are encouraged to discuss the use of these technologies with their students and allow their appropriate use in assessments. How this can be done will vary depending on several factors (such as the discipline, the assessment type, etc.).
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.
6 source attribution
policies.uow.edu.au
policies.uow.edu.au
ltc.uow.edu.au
uow.edu.au
policies.uow.edu.au
uow.edu.au
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.
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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.