Adelaide, Australia

Adelaide University

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.

Short answer

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.

Citation-ready summary

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.

Claim coverage8 reviewedSource languageen-AUPublic JSON/api/public/v1/universities/adelaide-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Research claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Privacy claims.
  • Evidence includes Security review claims.
  • Evidence includes Teaching claims.
  • Named AI services detected in public claims: ChatGPT.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims8Reviewed8Candidate0Official sources7

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 confidence80%

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.

Coursework

Adelaide University has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence79%Evidence2Sources2

Privacy and data entry

Adelaide University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence2Sources2

Named AI services

Adelaide University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence2Sources2

Teaching guidance

Adelaide University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence78%Evidence1Sources1

Security and procurement

Adelaide University has 1 source-backed public claim for security and procurement; deterministic analysis status: required.

RequiredMachine candidateConfidence79%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

8 reviewed evidence-backed public claim

Academic Integrity

Adelaide University's Academic Integrity Policy treats inappropriate use of AI that subverts an assignment or gives unfair academic advantage as an example of academic misconduct, including submitting AI-produced work as the student's own or using AI-generated information without acknowledgement.

Review: Agent reviewedConfidence95%

Normalized value: inappropriate_ai_use_academic_misconduct

Original evidence

Evidence 1
Inappropriate 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

Adelaide University's Authorship Procedure states that generative AI can be used to improve readability and clarity in publications, but must not be considered or listed as an author and its use must be disclosed transparently.

Review: Agent reviewedConfidence95%

Normalized value: research_outputs_genai_not_author_disclose_use

Original evidence

Evidence 1
Generative 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

Adelaide University's invigilated online exam rules state that students may use only tools, software, or materials explicitly approved in exam instructions, and list AI tools such as ChatGPT as not permitted.

Review: Agent reviewedConfidence94%

Normalized value: online_exam_no_ai_tools_unless_explicitly_approved

Original evidence

Evidence 1
Note: 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

Adelaide University's Graduate Research School guidance says graduate research students' use of generative AI must be transparent and responsible, including discussing use with a supervisor, keeping records, and acknowledging AI use in thesis acknowledgements, presentations, and publications.

Review: Agent reviewedConfidence94%

Normalized value: graduate_research_genai_transparent_responsible_records_acknowledgement

Original evidence

Evidence 1
Generative 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

Adelaide University's Graduate Research School guidance tells graduate research students not to upload sensitive, copyrighted, or confidential information, or unprotected intellectual property, into AI tools.

Review: Agent reviewedConfidence94%

Normalized value: graduate_research_no_sensitive_copyright_confidential_ip_uploads_to_ai

Original evidence

Evidence 1
You 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

Adelaide University's Academic Misconduct Procedure lists inappropriate use of Artificial Intelligence with plagiarism in its outcome table, with a standard outcome of mark reduction up to and including zero for the assignment.

Review: Agent reviewedConfidence93%

Normalized value: ai_misconduct_outcome_assignment_mark_reduction

Original evidence

Evidence 1
Type 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

Adelaide University's Cyber Security Policy states that AI systems are part of its digital environment and are subject to the same cyber security, data protection, and compliance requirements as other information systems.

Review: Agent reviewedConfidence93%

Normalized value: ai_systems_same_cyber_data_compliance_requirements

Original evidence

Evidence 1
Adelaide 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

For Adelaide University coursework assessment, the Assessment Procedure states that course coordinators will ensure students are informed about appropriate use of generative AI and similar tools in the course.

Review: Agent reviewedConfidence92%

Normalized value: coursework_students_informed_appropriate_genai_use

Original evidence

Evidence 1
The [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.

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

7 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.

Back to universities