Policy presence
Technological University Dublin has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Dublin, Ireland
Technological University Dublin
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
Technological University Dublin has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Technological University Dublin has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Technological University Dublin has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Technological University Dublin has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Technological University Dublin has 4 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Technological University Dublin has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Technological University Dublin has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Technological University Dublin has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
Technological University Dublin has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
Evidence-backed claims
7 reviewed evidence-backed public claim
Research
TU Dublin's research GenAI guidance says artificial intelligence systems and generative models cannot be included as co-authors on research, innovation, or scholarly outputs.
Review: Agent reviewed
Normalized value: AI systems and generative models cannot be co-authors
Original evidence
Evidence 1In line with the University’s Authorship and Publication policy, artificial intelligence systems and/or generative models cannot be included as co-authors on any research, innovation or scholarly output.
Ai Tool Treatment
For student assessment, TU Dublin guidance says generative AI can only be used in ways approved in advance by the lecturer, and that failure to follow the guidelines or inappropriate AI use may result in disciplinary action as a breach of academic integrity.
Review: Agent reviewed
Normalized value: Student GenAI use requires advance lecturer approval for assessments
Original evidence
Evidence 1To support academic integrity, GenAI can only be used by students in ways that are approved in advance by their lecturer. Failure to adhere to these guidelines or the inappropriate use of AI, as determined by the relevant Faculty, may result in disciplinary action as it is a breach of academic integrity.
Teaching
TU Dublin recommends using the Artificial Intelligence Assessment Scale when designing assessments and communicating with students about how generative AI may be used in a specific assessment.
Review: Agent reviewed
Normalized value: AIAS recommended for assessment design and student communication
Original evidence
Evidence 1TU Dublin recommends the use of the Artificial Intelligence Assessment Scale in the design of assessments and for communication with students about assessments.
Research
TU Dublin's research GenAI guidance says use of generative AI tools must follow applicable institutional, national, EU and international laws, regulations, and data protection standards, and that users are wholly responsible for checking the veracity, accuracy, creative merit, falsification, fabrication, and plagiarism risks of model output.
Review: Agent reviewed
Normalized value: Research GenAI use must meet law/data protection obligations and user responsibility
Original evidence
Evidence 1Use of generative AI systems/tools must follow applicable institutional, national, EU and international laws, regulations and data protection standards. The user of generative AI systems/tools is wholly responsible for ensuring the veracity, accuracy and/or creative merit of the output generated by the model, and for assessing the potential for falsification, fabrication and plagiarism due to the use of the system.
Privacy
TU Dublin's GenAI teaching and learning guidance says personal data should not be entered into GenAI systems that are not supported or approved by the University, and that students should not collect, store, or upload personal data to a GenAI system without permission or consent.
Review: Agent reviewed
Normalized value: Personal data restricted in unsupported or unapproved GenAI systems
Original evidence
Evidence 1Personal data should not be entered into GenAI systems that are not supported/approved by the University. No personal data should be collected, stored or uploaded to a GenAI system, without permission/consent, including images or photographs.
Academic Integrity
TU Dublin's academic integrity page lists submitting work created artificially, including by machine or artificial intelligence, as a form of academic misconduct when submitted as the student's own assessment work.
Review: Agent reviewed
Normalized value: AI-created work submitted as own work can be academic misconduct
Original evidence
Evidence 1Submitting work as your own for assessment, which has, in fact, been done in whole or in part by someone else or submitting work which has been created artificially, e.g., by a machine or through artificial intelligence.
Security Review
For sensitive, confidential, intellectual-property, or peer-review research contexts, TU Dublin guidance says only GenAI systems that do not retain data by default or allow retention to be disabled, or systems on closed or bespoke University hardware platforms, should be used.
Review: Agent reviewed
Normalized value: Sensitive research contexts limited to non-retaining or University-controlled GenAI systems
Original evidence
Evidence 1While a broad range of systems and tools are available, only the following should be used in the context of research activities where the information is sensitive, confidential or where there are/may be intellectual property issues, including during peer review practices: Systems which by default do not retain data or which permit user to disable data retention. Systems where the data is created and saved on closed/bespoke University hardware platforms.
Candidate claims
0 machine or needs-review claim
Official sources
4 source attribution
Academic Integrity
tudublin.ie
GUIDE 6.0 Breaches of Assessment Regulations
tudublin.ie
Guidelines on the responsible use of Generative AI in Teaching, Learning, Feedback and Assessment in TU Dublin
tudublin.ie
Responsible use of Generative AI in Research V1.0
tudublin.ie