University AI Policy Tracker
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Dublin, Ireland

Technological University Dublin

ClassementQS World University Rankings 2026: 781-790Updated19 juil. 2026

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Reviewed record

Affirmations révisées

8 reviewed claims

Ai Tool Treatment

Microsoft Copilot is listed for Technological University Dublin in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

Révision: Révisé par un agentConfiance97%

Valeur normalisée: {"tool":"microsoft_copilot","rawToolName":"Microsoft Copilot","description":"Technological University Dublin provides or institutionally supports Microsoft Copilot.","howToObtain":"Sign in with a TU Dublin Office 365 account.","costToUser":"No individual price is stated.","availability":"allowed","endorsementType":"institutionally_licensed_or_procured"}

Vérifié pour la dernière fois
19 juil. 2026
Dernière modification
19 juil. 2026

Preuve originale

Preuve 1
Users who are signed in with a TU Dublin Office 365 account can access Microsoft Copilot

Affichage localisé only

Users who are signed in with a TU Dublin Office 365 account can access Microsoft Copilot

Langue de la source
English (en)
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19 juil. 2026

Preuve originale

Preuve 2
Microsoft Copilot is the only AI assistant supported for use at TU Dublin.

Affichage localisé only

Microsoft Copilot is the only AI assistant supported for use at TU Dublin.

Langue de la source
English (en)
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19 juil. 2026

Recherche

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.

Révision: Révisé par un agentConfiance96%

Valeur normalisée: AI systems and generative models cannot be co-authors

Vérifié pour la dernière fois
20 mai 2026
Dernière modification
20 mai 2026

Preuve originale

Preuve 1
In 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.
Langue de la source
English (en)
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20 mai 2026
Localisateur de preuve
Principle 6

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.

Révision: Révisé par un agentConfiance95%

Valeur normalisée: Student GenAI use requires advance lecturer approval for assessments

Vérifié pour la dernière fois
20 mai 2026
Dernière modification
20 mai 2026

Preuve originale

Preuve 1
To 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.
Langue de la source
English (en)
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20 mai 2026
Localisateur de preuve
Principles Underpinning use of AI and GenAI in TU Dublin

Enseignement

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.

Révision: Révisé par un agentConfiance94%

Valeur normalisée: AIAS recommended for assessment design and student communication

Vérifié pour la dernière fois
20 mai 2026
Dernière modification
20 mai 2026

Preuve originale

Preuve 1
TU Dublin recommends the use of the Artificial Intelligence Assessment Scale in the design of assessments and for communication with students about assessments.
Langue de la source
English (en)
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20 mai 2026
Localisateur de preuve
Use of Artificial Intelligence Assessment Scale (AIAS)

Recherche

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.

Révision: Révisé par un agentConfiance94%

Valeur normalisée: Research GenAI use must meet law/data protection obligations and user responsibility

Vérifié pour la dernière fois
20 mai 2026
Dernière modification
20 mai 2026

Preuve originale

Preuve 1
Use 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.
Langue de la source
English (en)
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20 mai 2026
Localisateur de preuve
Principles for use of Generative AI, Principles 1 and 3

Confidentialité

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.

Révision: Révisé par un agentConfiance93%

Valeur normalisée: Personal data restricted in unsupported or unapproved GenAI systems

Vérifié pour la dernière fois
20 mai 2026
Dernière modification
20 mai 2026

Preuve originale

Preuve 1
Personal 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.
Langue de la source
English (en)
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20 mai 2026
Localisateur de preuve
Ethical Principles on the use of Generative Artificial Intelligence - Respect for privacy

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.

Révision: Révisé par un agentConfiance92%

Valeur normalisée: AI-created work submitted as own work can be academic misconduct

Vérifié pour la dernière fois
20 mai 2026
Dernière modification
20 mai 2026

Preuve originale

Preuve 1
Submitting 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.
Langue de la source
English (en)
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20 mai 2026
Localisateur de preuve
What is Academic Misconduct

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.

Révision: Révisé par un agentConfiance91%

Valeur normalisée: Sensitive research contexts limited to non-retaining or University-controlled GenAI systems

Vérifié pour la dernière fois
20 mai 2026
Dernière modification
20 mai 2026

Preuve originale

Preuve 1
While 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.
Langue de la source
English (en)
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20 mai 2026
Localisateur de preuve
Principle 8

Source record

Sources officielles

5 sources

Record information, JSON & citation
Révisionagent reviewedConfiance97%Snapshot statusNon publiéJSONJSON public

Citation: University AI Policy Tracker. "Technological University Dublin AI Policy Tracker record." Last checked July 19, 2026. https://eduaipolicy.org/universities/technological-university-dublin

Original university source language remains canonical. This tracker is not an official university statement.

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