Melbourne, Australia

Australian Catholic University

Last checkedMay 21, 2026Last changedMay 21, 2026Review: Agent reviewedConfidence97%

Public JSON Change log Monthly report Citation rules Dataset access Analysis JSON Submit correction

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources5Source languageenPublic JSON/api/public/v1/universities/australian-catholic-university.json

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

Policy presence

Australian Catholic University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence79%Evidence4Sources3

Claim claim-acu-ai-principles-scope Claim claim-acu-ai-human-decision-privacy Claim claim-acu-hdr-genai-research-guidance

AI disclosure

Australian Catholic University has 3 source-backed public claims for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence79%Evidence3Sources3

Claim claim-acu-assessment-ai-authorization Claim claim-acu-hdr-genai-research-guidance Claim claim-acu-student-genai-guidance

Coursework

Australian Catholic University has 3 source-backed public claims for coursework; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence3Sources3

Claim claim-acu-assessment-ai-authorization Claim claim-acu-ai-human-decision-privacy Claim claim-acu-student-genai-guidance

Exams

Australian Catholic University has 3 source-backed public claims for exams; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence3Sources3

Claim claim-acu-assessment-ai-authorization Claim claim-acu-ai-human-decision-privacy Claim claim-acu-student-genai-guidance

Privacy and data entry

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

RestrictedMachine candidateConfidence80%Evidence2Sources2

Claim claim-acu-ai-human-decision-privacy Claim claim-acu-hdr-genai-research-guidance

Academic integrity

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

RequiredMachine candidateConfidence83%Evidence1Sources1

Claim claim-acu-assessment-ai-authorization

Approved tools

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

RequiredMachine candidateConfidence80%Evidence1Sources1

Claim claim-acu-ai-human-decision-privacy

Named AI services

Australian Catholic University has 1 source-backed public claim for named ai services; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence1Sources1

Claim claim-acu-ai-human-decision-privacy

Teaching guidance

Australian Catholic University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence79%Evidence2Sources2

Claim claim-acu-ai-principles-scope Claim claim-acu-student-genai-guidance

Research guidance

Australian Catholic University has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence2Sources2

Claim claim-acu-ai-principles-scope Claim claim-acu-hdr-genai-research-guidance

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

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

5 reviewed evidence-backed public claim

Normalized value: assessment_ai_authorized_and_acknowledged

Last checked: May 21, 2026
Last changed: May 21, 2026

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: Student Academic Integrity and Misconduct Policy

Source language: English (en)
Snapshot hash: 62891cd6f34602dddac505aae91a86e4811ba39829f26b69ed2c59903977b3b1
Retrieved: May 21, 2026
Evidence locator: Section 8, clause 16(c)

Normalized value: formal_ai_principles_policy

Last checked: May 21, 2026
Last changed: May 21, 2026

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

Source language: English (en)
Snapshot hash: 49b32f90c996a197e1ccb950fab3614d40c2e335b3fb2ca36354d2eca34cca15
Retrieved: May 21, 2026
Evidence locator: Sections 1-2

Normalized value: human_oversight_and_privacy

Last checked: May 21, 2026
Last changed: May 21, 2026

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

Source language: English (en)
Snapshot hash: 49b32f90c996a197e1ccb950fab3614d40c2e335b3fb2ca36354d2eca34cca15
Retrieved: May 21, 2026
Evidence locator: Section 4, Core Principles 13-14

Normalized value: hdr_genai_declare_acknowledge_no_sensitive_information

Last checked: May 21, 2026
Last changed: May 21, 2026

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.
Source: Generative AI

Source language: English (en)
Snapshot hash: 319a49591d00b081d22f770d6d89ce3ae3ae3fba020e9f56708be105a3c7fd54
Retrieved: May 21, 2026
Evidence locator: AI applications in research training, HDR candidates table

Normalized value: student_guidance_contextual_authorization_acknowledgement

Last checked: May 21, 2026
Last changed: May 21, 2026

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.
Source: AI basics: GenAI at ACU

Source language: English (en)
Snapshot hash: 15b576a536751b50162ef4af2bae997e517f0b400ae540820c074122cc2a46e7
Retrieved: May 21, 2026
Evidence locator: Academic Integrity section

Candidate claims

0 machine or needs-review claim

Official sources

5 source attribution

Academic Integrity FAQs

staff.acu.edu.au

Source URL: https://staff.acu.edu.au/our_university/centre-for-education-and-innovation/curriculum-design-and-quality-assurance/academic-integrity/academic-integrity-faqs
Snapshot hash: 4c0dfff0a71fb9df993a9fb743ffdf4334bd8001644016272a6a73c705ef8c98

AI basics: GenAI at ACU

libguides.acu.edu.au

Source URL: https://libguides.acu.edu.au/ai-basics/genai-acu
Snapshot hash: 15b576a536751b50162ef4af2bae997e517f0b400ae540820c074122cc2a46e7

Generative AI

staff.acu.edu.au

Source URL: https://staff.acu.edu.au/our_university/research/research-services/generative-ai
Snapshot hash: 319a49591d00b081d22f770d6d89ce3ae3ae3fba020e9f56708be105a3c7fd54

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

policy.acu.edu.au

Source URL: https://policy.acu.edu.au/document/view.php?id=428
Snapshot hash: 49b32f90c996a197e1ccb950fab3614d40c2e335b3fb2ca36354d2eca34cca15

Student Academic Integrity and Misconduct Policy

policy.acu.edu.au

Source URL: https://policy.acu.edu.au/document/view.php?id=222
Snapshot hash: 62891cd6f34602dddac505aae91a86e4811ba39829f26b69ed2c59903977b3b1

Last checkedMay 21, 2026Last changedMay 21, 2026Open change log

Open contribution paths Review workflow

Back to universities

Australian Catholic University

Record status

Policy profile

Policy presence

AI disclosure

Coursework

Exams

Privacy and data entry

Academic integrity

Approved tools

Named AI services

Teaching guidance

Research guidance

Security and procurement

AI tools

Evidence-backed claims

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.