Dublin, Ireland

Trinity College Dublin, The University of Dublin

Trinity College Dublin, The University of Dublin has 9 source-backed AI policy claims from 8 official source attributions. Review state: agent reviewed; 9 reviewed claims. Last checked May 25, 2026.

Trinity College Dublin, The University of Dublin AI policy short answer

v1 public contract

Trinity College Dublin, The University of Dublin has 9 source-backed AI policy claims from 8 official source attributions, including 9 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 25, 2026. Discovery context: Trinity College Dublin, The University of Dublin is listed as QS 2026 rank 75.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Trinity College Dublin, The University of Dublin as an agent-reviewed AI policy record last checked on May 25, 2026 and last changed on May 26, 2026. The record contains 9 source-backed claims, including 9 reviewed claims, from 8 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/trinity-college-dublin-the-university-of-dublin.json. The entity-level confidence is 94%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Research claims.
  • Evidence includes Teaching claims.
  • Evidence includes Source status claims.
  • Evidence includes Security review claims.
  • Named AI services detected in public claims: ChatGPT.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims9Reviewed9Candidate0Official sources8

This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.

This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

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

Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.

Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.

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

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

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

Evidence originale

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

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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

Evidence originale

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

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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

Evidence originale

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

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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

Evidence originale

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

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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

Evidence originale

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

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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.

Evidence originale

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

Evidence originale

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

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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

Evidence originale

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

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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

Evidence originale

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

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

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

8 source attribution

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

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

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

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