Policy presence
RMIT University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Melbourne, Australia
RMIT University
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
RMIT University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
RMIT University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
RMIT University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
RMIT University has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
RMIT University has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
RMIT University has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
RMIT University has 4 source-backed public claims for named ai services; deterministic analysis status: restricted.
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.
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.
Security and procurement
RMIT University has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
AI tools
Evidence-backed claims
9 reviewed evidence-backed public claim
Source Status
RMIT has a Responsible Artificial Intelligence procedure that establishes ethical principles and a risk-based framework for safe and responsible AI adoption across RMIT Group functions and activities.
Review: Agent reviewed
Normalized value: responsible_ai_procedure_risk_based_framework
Original evidence
Evidence 1This procedure establishes the ethical principles and risk-based framework which underpin the safe and responsible adoption of AI to support the functions and activities of the RMIT Group.
Academic Integrity
RMIT academic integrity guidance says students cannot use AI to complete or contribute to an assessment task unless specifically allowed, pass off unreferenced AI-produced ideas as their own, or submit AI-produced content they cannot understand or explain.
Review: Agent reviewed
Normalized value: ai_use_not_allowed_without_permission_reference_understand_explain
Original evidence
Evidence 1You cannot use AI to: Complete or contribute to an assessment task when it has not been specifically allowed. Check your course guide or ask your educator if you're not sure; Produce ideas that you don't reference and try to pass off as your own; Produce content that you are unable to understand or explain in your own words.
Security Review
Before RMIT initiates its AI Governance Framework for an AI initiative, existing governance assessments include Privacy Impact Assessment, Security Risk Assessment, and Third-Party Risk Assessment.
Review: Agent reviewed
Normalized value: pia_sra_tpra_before_ai_governance_framework
Original evidence
Evidence 1Existing risks assessments, indicated below, must be completed before the AI Governance Framework is initiated. These assessments will also determine if the initiative is introducing an AI component(s): Privacy Impact Assessment(PIA); Security Risk Assessment (SRA); Third-Party Risk Assessment (TPRA).
Academic Integrity
RMIT assessment guidance tells students to review and fact-check AI outputs and acknowledge AI tools when those tools contribute ideas, text, images, or other content to assessment work.
Review: Agent reviewed
Normalized value: fact_check_and_acknowledge_ai_assessment_contributions
Original evidence
Evidence 1You should always review and fact check AI outputs and acknowledge the tool just as you would any content, ideas or media that you use in your assessments. Just like when we reference books, articles or websites in our assessments, if an AI tool has contributed ideas, text, images or other content to your work, you need to acknowledge it.
Academic Integrity
RMIT says whether students may use AI in assessments depends on their course and Course Coordinator instructions, and students should check with the Course Coordinator if unsure.
Review: Agent reviewed
Normalized value: assessment_ai_use_depends_course_course_coordinator
Original evidence
Evidence 1Can I use AI for my assessments? This depends on your course and instructions from your Course Coordinator. If you're unsure, always check with your Course Coordinator.
Ai Tool Treatment
RMIT describes Val as its generative AI tool for eligible students, powered by OpenAI models, and says course guides determine whether Val or other AI tools are appropriate for learning and assessment.
Review: Agent reviewed
Normalized value: val_supported_genai_tool_course_guides_assessment_use
Original evidence
Evidence 1Val is RMIT's generative artificial intelligence tool - powered by OpenAI's GPT-4.1, GPT-4o and o3-mini models. Val is private, secure and free for RMIT students to use. Your course guides will provide guidance on how you can use Val or other AI tools in your learning, including whether or not it's appropriate to use AI tools in your assessments.
Privacy
RMIT's Val guidance says data shared with Val is kept private, secure and confidential, is not shared with OpenAI or other external organisations outside RMIT, and should not include personal, sensitive, or health information.
Review: Agent reviewed
Normalized value: val_data_private_not_shared_external_no_sensitive_prompts
Original evidence
Evidence 1Any data you share with Val is also kept private, secure and confidential - it's not shared with OpenAI, or any other external organisations outside RMIT. Do not enter prompts that contain: Information that you would not usually share with other people; Personal, sensitive and health information about yourself or anyone else.
Ai Tool Treatment
RMIT student AI learning guidance says RMIT has approved tools with AI capability and that students should be cautious when using public AI tools outside that approved set.
Review: Agent reviewed
Normalized value: approved_ai_tools_public_tools_caution
Original evidence
Evidence 1RMIT has a list of approved tools with AI capability and students should be cautious with using any public tools outside of that.
Privacy
RMIT tells students to verify AI outputs and treat public AI tools as privacy, security, and reputation risks because inputs could be shared.
Review: Agent reviewed
Normalized value: verify_ai_outputs_public_ai_privacy_security_risk
Original evidence
Evidence 1Always verify the information you receive from AI and make sure you can understand it and explain it in your own words. Treat public AI tools like a megaphone - anything you input could be shared and be a risk to your privacy, security and reputation.
Candidate claims
0 machine or needs-review claim
Official sources
5 source attribution
Academic integrity
rmit.edu.au
Artificial intelligence in learning
rmit.edu.au
Responsible Artificial Intelligence (AI) Procedure
policies.rmit.edu.au
Using AI responsibly in assessments
rmit.edu.au
Val GenAI Chatbot - Your virtual learning assistant
rmit.edu.au