Policy presence
La Trobe University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Melbourne, Australia
La Trobe University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
La Trobe University has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
La Trobe University has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
La Trobe University has 2 source-backed public claims for exams; deterministic analysis status: required.
La Trobe University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.
La Trobe University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
La Trobe University has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
La Trobe University has 1 source-backed public claim for named ai services; deterministic analysis status: blocked.
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.
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.
La Trobe University has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
5 reviewed evidence-backed public claim
Source Status
Original evidence
Evidence 1This Policy outlines the principles for using, developing, and managing Artificial Intelligence (AI) solutions at La Trobe University.
Privacy
Original evidence
Evidence 1Staff, 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
Original evidence
Evidence 1An 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
Original evidence
Evidence 1From 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
Original evidence
Evidence 1Each 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.
0 machine or needs-review claim
4 source attribution
latrobe.edu.au
latrobe.edu.au
policies.latrobe.edu.au
latrobe.edu.au