Melbourne, Australia

La Trobe University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources4Source languageenPublic JSON/api/public/v1/universities/la-trobe-university.json

Policy profile

Coverage score90/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

Approved tools

La Trobe University has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

Teaching guidance

No source-backed public claim about teaching guidance is present in this profile.

The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Research guidance

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

La Trobe University has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

AI tools

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

Source Status

La Trobe University has a Responsible AI Adoption Policy that outlines principles for using, developing, and managing AI solutions at the university.

Review: Agent reviewedConfidence96%

Original evidence

Evidence 1
This Policy outlines the principles for using, developing, and managing Artificial Intelligence (AI) solutions at La Trobe University.

Privacy

La Trobe University policy says staff, students, contractors, honorary and adjunct staff must not disclose University information into publicly accessible or open-source AI systems.

Review: Agent reviewedConfidence96%

Original evidence

Evidence 1
Staff, students, contractors, honorary and adjunct staff must not input, upload, transmit, or otherwise disclose any University information into publicly accessible or open-source artificial intelligence (AI) systems

Security Review

La Trobe University policy requires an AI Adoption Risk Assessment for procurement or acquisition of all new AI systems/tools and for new use cases of existing university-approved AI systems/tools.

Review: Agent reviewedConfidence95%

Original evidence

Evidence 1
An AI Adoption Risk Assessment must be completed for: a. the procurement/acquisition of all new AI Systems/Tools; and b. existing University approved AI Systems/Tools for which new use cases are proposed.

Academic Integrity

La Trobe MyLaTrobe guidance says that when a subject allows AI use in an assessment, students need to submit an AI Acknowledgement, with the LMS indicating whether AI is permitted and what type of use is allowed.

Review: Agent reviewedConfidence91%

Original evidence

Evidence 1
From 17 November 2025, if your subject allows AI use in your assessment, you’ll need to submit an AI Acknowledgement even if you didn’t use AI. Each subject’s LMS will clearly outline whether AI is permitted in your assessment, what type of AI use is allowed, and which AI Acknowledgement you need to submit.

Academic Integrity

La Trobe student guidance says AI rules may vary by school, subject, or task, and students should check with lecturers and acknowledge AI-generated content when they use it.

Review: Agent reviewedConfidence90%

Original evidence

Evidence 1
Each school, subject or task may have its own rules, so it’s important to check with your lecturers before using AI. If you do use it, make sure you acknowledge any AI-generated content to avoid academic misconduct.

Candidate claims

0 machine or needs-review claim

Official sources

4 source attribution

Change log

Last checkedMay 15, 2026Last changedMay 15, 2026Open change log

Corrections

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