Melbourne, Australia

Swinburne University of Technology

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage3 reviewedEvidence-backed claims3Reviewed3Candidate0Official sources3Source languageen-AUPublic JSON/api/public/v1/universities/swinburne-university-of-technology.json

Policy profile

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

AI disclosure

Swinburne University of Technology has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

Privacy and data entry

Swinburne University of Technology has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

Academic integrity

Swinburne University of Technology has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence1Sources1

Teaching guidance

Swinburne University of Technology has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

Research guidance

Swinburne University of Technology has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

Security and procurement

Swinburne University of Technology has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

AI tools

Derived tool records1

AI tools

Swinburne University of Technology

Tool
AI tools
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Unknown
Review
Agent reviewed

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 reviewedConfidence95%

Normalized value: Sensitive or restricted data is not to be entered into AI systems without enterprise data protection.

Original evidence

Evidence 1
All 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 reviewedConfidence94%

Normalized value: Official AI usage procedures apply across listed user groups and Swinburne-related activities.

Original evidence

Evidence 1
The 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 reviewedConfidence94%

Normalized value: Permitted genAI use requires direction from unit teaching staff and proper acknowledgement.

Original evidence

Evidence 1
Students 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

Official sources

3 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

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