Policy presence
Adelaide University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Adelaide, Australia
Adelaide University is listed as QS 2026 rank =82. Adelaide University has 8 source-backed AI policy claim records from 7 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Adelaide University is listed as QS 2026 rank =82. Adelaide University has 8 source-backed AI policy claim records from 7 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 Adelaide University as an agent-reviewed AI policy record last checked on May 13, 2026 and last changed on May 13, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 7 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/adelaide-university.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.
Adelaide University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Adelaide University has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Adelaide University has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Adelaide University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Adelaide University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Adelaide University has 3 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Adelaide University has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Adelaide University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Adelaide University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Adelaide University has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
Adelaide University has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
8 reviewed evidence-backed public claim
Academic Integrity
Normalized value: inappropriate_ai_use_academic_misconduct
Original evidence
Evidence 1Inappropriate use of artificial intelligence (AI) - is to subvert the aims of assignment or give the student an unfair academic advantage. Inappropriate use of AI can include but is not limited to: submitting work produced (or produced in part) by generative artificial intelligence as the student's own work; using information generated by artificial intelligence without acknowledgement or attribution.
Research
Normalized value: research_outputs_genai_not_author_disclose_use
Original evidence
Evidence 1Generative AI can be used in publications to improve the readability and clarity of written content by assisting authors with generating drafts, revising language, and suggesting phrasing. Generative AI must not be considered an author itself, and its use must be disclosed transparently.
Ai Tool Treatment
Normalized value: online_exam_no_ai_tools_unless_explicitly_approved
Original evidence
Evidence 1Note: Anything not listed is prohibited. Use only tools, software, or materials explicitly approved in your exam instructions. This includes: No collaboration tools (email, forums, etc.); No additional electronic devices; No AI tools (e.g., ChatGPT); No physical items (pens, paper, calculators).
Research
Normalized value: graduate_research_genai_transparent_responsible_records_acknowledgement
Original evidence
Evidence 1Generative AI tools generate new content such as text or images based on prompts from the user. These tools can support your research, but their use must be transparent and responsible. You must: discuss AI use with your supervisor; keep records of programs or applications used, dates and prompts; include an AI use statement in your thesis acknowledgements; acknowledge AI use in presentations and publications.
Privacy
Normalized value: graduate_research_no_sensitive_copyright_confidential_ip_uploads_to_ai
Original evidence
Evidence 1You must not: generate thesis content using AI (unless quoted and cited); translate large portions of text using AI; upload sensitive, copyrighted or confidential information into AI tools; upload unprotected intellectual property into AI tools.
Academic Integrity
Normalized value: ai_misconduct_outcome_assignment_mark_reduction
Original evidence
Evidence 1Type of academic misconduct: Plagiarism; Inappropriate use of Artificial Intelligence. Standard Outcome: Reduction of mark up to and including zero for the assignment. Mitigated outcome: a warning; submission of a corrected version of the affected component for a maximum of 50% for assignment; a reduction of mark. Exacerbated outcome: zero for assignment; zero for course.
Security Review
Normalized value: ai_systems_same_cyber_data_compliance_requirements
Original evidence
Evidence 1Adelaide University recognises that artificial intelligence (AI) systems form part of its digital environment and are subject to the same cyber security, data protection, and compliance requirements as other information systems.
Teaching
Normalized value: coursework_students_informed_appropriate_genai_use
Original evidence
Evidence 1The [Course Coordinator] will ensure students are informed about the standards associated with evidence-based academic writing, the appropriate use of generative artificial intelligence and similar tools, and relevant scholarly and/or professional conventions that apply to assessment in the course.
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.
7 source attribution
adelaideuni.edu.au
adelaideuni.edu.au
adelaideuni.edu.au
adelaideuni.edu.au
adelaideuni.edu.au
adelaideuni.edu.au
adelaideuni.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.
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.