Melbourne, Australia

Australian Catholic University

Australian Catholic University has 5 source-backed AI policy claims from 5 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 21, 2026.

Australian Catholic University AI policy short answer

v1 public contract

Australian Catholic University has 5 source-backed AI policy claims from 5 official source attributions, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 21, 2026. Discovery context: Australian Catholic University is listed as QS 2026 rank 851-900.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Australian Catholic University as an agent-reviewed AI policy record last checked on May 21, 2026 and last changed on May 21, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/australian-catholic-university.json. The entity-level confidence is 97%. 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 coverage5 reviewedSource languageenPublic JSON/api/public/v1/universities/australian-catholic-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Source status claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Research claims.
  • Evidence includes Teaching claims.
  • No specific AI service name is highlighted by the current public claim text.
  • 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims5Reviewed5Candidate0Official sources5

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.

Academic integrity

Australian Catholic University has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence83%Evidence1Sources1

Approved tools

Australian Catholic University has 1 source-backed public claim for approved tools; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence1Sources1

Named AI services

Australian Catholic University has 1 source-backed public claim for named ai services; 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

5 reviewed evidence-backed public claim

Academic Integrity

For ACU coursework students, unauthorized or undisclosed use of generative AI, paraphrasing or translation tools is listed as academic misconduct unless use is authorized in the assessment requirements and properly acknowledged.

Review: Agent reviewedConfidence97%

Normalized value: assessment_ai_authorized_and_acknowledged

Original evidence

Evidence 1
Unauthorised or undisclosed use of artificial intelligence: using generative (content production) artificial intelligence, paraphrasing and translation tools unless their use is authorised in the assessment requirements and is properly acknowledged.

Source Status

Australian Catholic University has an official AI principles policy for teaching, research and research training that applies to University Members, staff and students.

Review: Agent reviewedConfidence96%

Normalized value: formal_ai_principles_policy

Original evidence

Evidence 1
This Policy aims to ensure that adoption of Artificial Intelligence in ACU's education, research, research training and operations is undertaken ethically, responsibly, fairly and lawfully. This Policy applies to all University Members, staff and students.

Ai Tool Treatment

ACU's AI principles say AI must supplement rather than replace human decision-making, with humans retaining responsibility, and require privacy risks to be assessed and mitigated for AI-related activities.

Review: Agent reviewedConfidence94%

Normalized value: human_oversight_and_privacy

Original evidence

Evidence 1
Artificial Intelligence must only be used as a tool to supplement human decision-making rather than replace it. Humans retain active responsibility for decisions made with Artificial Intelligence support. The respect for privacy is to be upheld in all Artificial Intelligence related activities at ACU.

Research

ACU research guidance says HDR candidates should declare GenAI use for thesis copyediting/proofreading, discuss intended research use with supervisors, record and acknowledge tool usage and prompts, and should not input sensitive or confidential information into GenAI tools.

Review: Agent reviewedConfidence93%

Normalized value: hdr_genai_declare_acknowledge_no_sensitive_information

Original evidence

Evidence 1
HDR candidates should, for thesis preparation, only use GenAI specifically for copyediting and proofreading and this use should be declared; discuss intended GenAI use with supervisors; record and acknowledge tool usage and all prompts; and not input sensitive or confidential information into GenAI tools.

Teaching

ACU Library guidance tells students that GenAI may be permitted in some contexts, but assessment use should be clearly authorized and acknowledged, and final work should reflect the student's own analysis and understanding.

Review: Agent reviewedConfidence90%

Normalized value: student_guidance_contextual_authorization_acknowledgement

Original evidence

Evidence 1
GenAI may be permitted in some contexts, but its use must be explicitly allowed - particularly in assessment tasks. Always refer to your unit outline or tutor's instructions. If GenAI use is not clearly authorised, it should not be used.

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

5 source attribution

Principles for Use of Artificial Intelligence in Teaching, Research and Research Training Policy

policy.acu.edu.au

Snapshot hash
49b32f90c996a197e1ccb950fab3614d40c2e335b3fb2ca36354d2eca34cca15

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 21, 2026Last changedMay 21, 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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