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 has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Swinburne University of Technology has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Swinburne University of Technology has 2 source-backed public claims for coursework; deterministic analysis status: required.
Swinburne University of Technology has 2 source-backed public claims for exams; deterministic analysis status: required.
Swinburne University of Technology has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Swinburne University of Technology has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Swinburne University of Technology has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Swinburne University of Technology has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Swinburne University of Technology has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Swinburne University of Technology has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Swinburne University of Technology has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
3 reviewed evidence-backed public claim
Privacy
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
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
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.
0 machine or needs-review claim
3 source attribution
swinburne.edu.au
swinburne.edu.au
swinburne.edu.au