Policy presence
University of Technology Sydney has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Haymarket, Australia
University of Technology Sydney
University of Technology Sydney is listed as QS 2026 rank 96. University of Technology Sydney has 7 source-backed AI policy claim records from 7 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Technology Sydney is listed as QS 2026 rank 96. University of Technology Sydney has 7 source-backed AI policy claim records from 7 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Technology Sydney as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 7 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-technology-sydney.json. The entity-level confidence is 96%. 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.
Policy signals in this record
- Evidence includes Security review claims.
- Evidence includes Procurement claims.
- Evidence includes Research claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes AI tool treatment claims.
- Named AI services detected in public claims: Microsoft Copilot.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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.
AI disclosure
University of Technology Sydney has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
University of Technology Sydney has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Technology Sydney has 2 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
University of Technology Sydney has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Technology Sydney has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
University of Technology Sydney has 4 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
University of Technology Sydney has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Technology Sydney has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Technology Sydney has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
University of Technology Sydney has 4 source-backed public claims for security and procurement; deterministic analysis status: restricted.
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
7 reviewed evidence-backed public claim
Security Review
UTS states that use of AI systems must comply with its Privacy, Procurement, Information Security, and Acceptable Use of Information Technology Resources policies as appropriate.
Review: Agent reviewed
Normalized value: ai_system_use_must_comply_privacy_procurement_information_security_acceptable_use_policies
Original evidence
Evidence 13.4 Use of AI systems must comply with the Privacy Policy, the Procurement Policy, the Information Security Policy and the Acceptable Use of Information Technology Resources Policy as appropriate.
Localized display only
UTS AI system use must comply with privacy, procurement, information security and acceptable-use policies as appropriate.
Security Review
UTS's AI Operations Procedure requires a six-stage identification, assessment, approval, implementation, and management process before developing, deploying, procuring, or activating AI systems or AI capabilities.
Review: Agent reviewed
Normalized value: six_stage_process_required_before_ai_development_deployment_procurement_activation
Original evidence
Evidence 14.3 When considering an AI system, UTS applies a 6-stage process for identification, assessment, approval, implementation and management. These steps must be followed before the development, deployment or procurement of an AI system or activation of an AI capability within an existing system.
Localized display only
The procedure says UTS applies a six-stage process and those steps must be followed before AI development, deployment, procurement or capability activation.
Procurement
UTS's Artificial Intelligence Operations Policy guides the use, procurement, development, and management of AI for teaching, learning, and operations, while directing research use to the separate research guidelines.
Review: Agent reviewed
Normalized value: policy_covers_teaching_learning_operations_ai_procurement_development_management_research_separate_guidelines
Original evidence
Evidence 11.1 The Artificial Intelligence Operations Policy (the policy) guides the use, procurement, development and management of artificial intelligence (AI) at UTS for the purposes of teaching, learning and operations. 2.3 This policy does not apply to research projects and outputs (including university consulting). Information on the use of AI in research, as well as required research approvals and ethics clearances, is provided in the Research Policy and the Use of AI in Research Guidelines.
Localized display only
The policy covers AI use/procurement/development/management for teaching, learning and operations, while research use is handled through research policy and AI research guidelines.
Research
UTS research guidance tells researchers to check confidentiality, licence, and agreement restrictions before uploading data to GenAI tools, and to follow relevant IT, Acceptable Use, and Data Governance policies when a GenAI tool accesses UTS IT or network resources or is deployed on a UTS device.
Review: Agent reviewed
Normalized value: researchers_check_confidentiality_restrictions_and_follow_it_acceptable_use_data_governance_for_genai_tools
Original evidence
Evidence 1Maintain confidentiality Are you breaching confidentiality (ethical, cultural or commercial) or licences or agreements by uploading the data into a GenAI tool? Check for restrictions in contracts, agreements or licences. If you are considering using a GenAI tool that will have access to UTS IT or network resources, or be deployed on a UTS device, you must follow relevant IT policies, including the Information Security Policy, the Acceptable Use of Information Technology Resources Policy and the Data Governance Policy.
Localized display only
The research guidelines ask researchers to check confidentiality and contractual restrictions before uploading data, and require relevant IT/data policies for GenAI tools connected to UTS IT or devices.
Academic Integrity
UTS Education Express says university misconduct rules apply to AI use in assessments, students must acknowledge AI-tool use, and students should only use AI tools to generate verbatim assessment materials when instructed that this is appropriate.
Review: Agent reviewed
Normalized value: assessment_ai_use_subject_to_misconduct_rules_acknowledgement_required_verbatim_materials_only_when_instructed
Original evidence
Evidence 1University misconduct rules apply to the use of AI in assessments, students must acknowledge their use of these tools and only use them to generate verbatim materials for assessment when instructed that this is appropriate.
Localized display only
UTS teaching guidance links AI assessment use to misconduct rules, acknowledgement, and instructor permission for verbatim AI-generated assessment material.
Privacy
UTS Library's GenAI guide tells students that if GenAI use has not been allowed by the subject coordinator it is academic misconduct, allowed GenAI content must be referenced or acknowledged, and students should not enter personal details, confidential data, assignment text, or research text into GenAI tools.
Review: Agent reviewed
Normalized value: library_students_ai_not_allowed_is_misconduct_allowed_content_referenced_acknowledged_no_personal_confidential_assignment_research_text
Original evidence
Evidence 1If the use of GenAI has not been allowed by your subject coordinator, using this content in your assignment is considered academic misconduct (cheating). Even when the use of GenAI is allowed, any content that you use must be appropriately referenced or acknowledged. Privacy concerns. When you submit content to a GenAI tool, you give them the right to re-use and distribute this content. So it is important not to enter any personal details, confidential data or text from your assignments or research.
Localized display only
UTS Library says unallowed GenAI assignment use is misconduct, allowed content must be referenced or acknowledged, and personal/confidential/assignment/research text should not be entered into GenAI tools.
Ai Tool Treatment
UTS Library says UTS staff and students have access to Microsoft Copilot, and describes logged-in Copilot as a protected version where data is not used to train the AI and files and intellectual property are safe; the guide calls it the preferred tool for learning support.
Review: Agent reviewed
Normalized value: library_copilot_access_for_staff_students_logged_in_protected_version_preferred_learning_support_tool
Original evidence
Evidence 1UTS staff and students have access to Microsoft Copilot. Copilot is a GenAI tool with GPT-4o and DALL-E that generates text or image content based on your prompts. It's free and easy to use, and if you log in with your UTS ID and password, you are able to access a protected version. This means that your data isn't being used to train the AI and your files and intellectual property are safe. If you want to use generative AI to support your learning, this is the preferred tool.
Localized display only
UTS Library identifies Microsoft Copilot access for staff/students and says the logged-in protected version does not use data to train AI; the guide calls it the preferred learning-support tool.
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
7 source attribution
Artificial Intelligence Operations Policy
uts.edu.au
Artificial Intelligence Operations Procedure
uts.edu.au
Developing guidelines for generative AI in your subject
educationexpress.uts.edu.au
Generative AI: Ethical Use and Evaluation
studyguides.lib.uts.edu.au
Generative AI: Referencing and Acknowledging AI
studyguides.lib.uts.edu.au
Generative AI: UTS Tools
studyguides.lib.uts.edu.au
Use of AI in Research Guidelines
uts.edu.au
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.
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.