Dublin, Ireland

Trinity College Dublin, The University of Dublin

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage9 reviewedEvidence-backed claims9Reviewed9Candidate0Official sources8Source languageenPublic JSON/api/public/v1/universities/trinity-college-dublin-the-university-of-dublin.json

Policy profile

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence77%

Security and procurement

Trinity College Dublin, The University of Dublin has 1 source-backed public claim for security and procurement; deterministic analysis status: required.

RequiredMachine candidateConfidence70%Evidence1Sources1

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

9 reviewed evidence-backed public claim

Privacy

Trinity's teaching and learning guidance says private student or staff information must not be used in GenAI queries or instructions.

Review: Agent reviewedConfidence94%

Normalized value: do_not_input_private_student_or_staff_information

Original evidence

Evidence 1
you are NOT allowed to use private student or staff information as part of your queries or instructions when using GenAI tools

Localized display only

The teaching page says private student or staff information must not be used in GenAI prompts.

Academic Integrity

Trinity's GenAI assessment guidance states that submitting GenAI-generated content as a student's own work is considered plagiarism.

Review: Agent reviewedConfidence93%

Normalized value: genai_output_as_own_work_is_plagiarism

Original evidence

Evidence 1
If a student generates content from a GenAI tool and submits it as their own work, it is considered plagiarism

Localized display only

The assessment page treats submitting GenAI output as one's own work as plagiarism.

Ai Tool Treatment

Trinity's College Statement treats AI and GenAI as relevant to teaching, learning, assessment and research while identifying risks including academic integrity, ethics and privacy.

Review: Agent reviewedConfidence92%

Normalized value: central_statement_balanced_opportunity_and_risk

Original evidence

Evidence 1
AI and GenAI offer new opportunities for teaching, learning, assessment and research... challenges and risks, including to academic integrity, ethics, privacy

Localized display only

The central statement frames AI/GenAI as both an opportunity and a risk area.

Academic Integrity

Trinity Library guidance says GenAI use as a functional tool in academic work must be acknowledged in an Appendix or Methods section, with minimum details including the system name and version, publisher, URL and context of use.

Review: Agent reviewedConfidence92%

Normalized value: library_requires_acknowledgement_appendix_methods_minimum_details

Original evidence

Evidence 1
The use of GenAI must be acknowledged in an Appendix or Methods section of any piece of academic work

Localized display only

The Library guide requires acknowledgement of functional GenAI use in academic work.

Research

Trinity's research guidance says researchers remain responsible for scientific output, should cite GenAI usage in outputs, and should attend to privacy, confidentiality and intellectual-property issues when sharing sensitive information with AI tools.

Review: Agent reviewedConfidence91%

Normalized value: researchers_responsible_transparent_and_privacy_aware

Original evidence

Evidence 1
Researchers remain ultimately responsible for scientific output. Researchers should use GenAI transparently, i.e. by citing usage in outputs.

Localized display only

The research page emphasizes researcher responsibility and transparent citation of GenAI use.

Academic Integrity

Trinity College Dublin says specific uses of GenAI in an assessment must be disclosed, properly acknowledged, and referenced; students should explain what, when, and how they used GenAI.

Review: Agent reviewedConfidence90%

Normalized value: GenAI assessment use must be disclosed, acknowledged, referenced, and explained.

Original evidence

Evidence 1
To maintain academic integrity when using GenAI in an assessment, the specific uses of GenAI must be disclosed, properly acknowledged and referenced. Students should explain in detail what, when, and how they used GenAI in their assignment.

Teaching

Trinity's teaching and learning guidance says staff embedding GenAI should set clear parameters, support prompting practice, align use with learning outcomes, and ensure equitable access at no additional cost.

Review: Agent reviewedConfidence90%

Normalized value: teaching_use_requires_clear_parameters_access_practice_alignment

Original evidence

Evidence 1
students have equitable access to tools at no additional costs; students are given opportunities to practice using GenAI tools; parameters... are clear

Localized display only

The teaching page says staff should address access, practice opportunities, clear parameters and alignment.

Source Status

Trinity's Centre for Academic Practice states that policies on ethical and appropriate use of generative AI in teaching, learning, and assessment are currently under development.

Review: Agent reviewedConfidence88%

Normalized value: genai_policy_under_development

Original evidence

Evidence 1
Policies are currently under development relating to the ethical and appropriate use of generative AI in teaching, learning, and assessment

Localized display only

Trinity says GenAI-related teaching, learning and assessment policies are under development.

Security Review

Trinity IT Services says AI tools such as ChatGPT raise information-security and data-protection considerations.

Review: Agent reviewedConfidence82%

Normalized value: it_services_ai_security_data_protection_considerations

Original evidence

Evidence 1
important considerations to keep in mind, including information security and data protection, when using AI tools such as ChatGPT

Localized display only

IT Services flags information security and data protection considerations for AI tools.

Candidate claims

0 machine or needs-review claim

Official sources

8 source attribution

Change log

Last checkedMay 25, 2026Last changedMay 26, 2026Open change log

Corrections

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