Policy presence
Swinburne University of Technology has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Melbourne, Australia
Swinburne University of Technology
Swinburne University of Technology is listed as QS 2026 rank =294. Swinburne University of Technology has 3 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Swinburne University of Technology is listed as QS 2026 rank =294. Swinburne University of Technology has 3 source-backed AI policy claim records from 3 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 Swinburne University of Technology as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 3 source-backed claims, including 3 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/swinburne-university-of-technology.json. The entity-level confidence is 95%. 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 Privacy claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security 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
Swinburne University of Technology has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Swinburne University of Technology has 2 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Swinburne University of Technology has 2 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Swinburne University of Technology has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Swinburne University of Technology has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
Swinburne University of Technology has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Swinburne University of Technology has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Swinburne University of Technology has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Swinburne University of Technology has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
Swinburne University of Technology has 1 source-backed public claim 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
3 reviewed evidence-backed public claim
Privacy
Swinburne's AI usage procedures require AI use to align with its Data Classification and Privacy Frameworks, including restrictions on entering sensitive or restricted data into AI systems without enterprise data protection.
Review: Agent reviewed
Normalized value: Sensitive or restricted data is not to be entered into AI systems without enterprise data protection.
Original evidence
Evidence 1All AI usage must align with Swinburne’s Data Classification and Privacy Frameworks: Public Data: Can be shared into any AI system, provided such use is in line with other applicable laws, frameworks, and policies for such uses (e.g. copyright) Internal Data: Only use with enterprise AI tools. Sensitive or Restricted Data: Must not be entered into any AI system which does not have enterprise data protection.
Ai Tool Treatment
Swinburne has official AI usage procedures that apply to staff, students, researchers, contractors and affiliates using AI tools in Swinburne-related operations and commercial or academic activities.
Review: Agent reviewed
Normalized value: Official AI usage procedures apply across listed user groups and Swinburne-related activities.
Original evidence
Evidence 1The Artificial Intelligence (AI) usage procedures establish the criteria for the responsible use of AI tools at Swinburne University of Technology. They align with ethical principles, legal requirements, and institutional policies to ensure that AI use supports educational, research, and administrative activities without compromising security, privacy, or fairness.
Academic Integrity
Swinburne's academic integrity guidance says students may use genAI where permitted by unit teaching staff and with acknowledgement, and treats AI-produced assessment work without permission or approved acknowledgement as a breach type.
Review: Agent reviewed
Normalized value: Permitted genAI use requires direction from unit teaching staff and proper acknowledgement.
Original evidence
Evidence 1Students may use genAI tools under the direction of unit teaching staff and with proper acknowledgement of its use. A student submits work as their own for assessment that has been fully or partially completed by a third party, either paid or unpaid. This includes work that is produced by artificial intelligence content producing tools (or other technologies) without permission or Swinburne approved acknowledgement.
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
3 source attribution
Academic Integrity
swinburne.edu.au
Artificial Intelligence Guidelines
swinburne.edu.au
Artificial Intelligence Usage Procedures
swinburne.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.