Policy presence
University College Dublin has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Dublin, Ireland
University College Dublin
University College Dublin is listed as QS 2026 rank 118. University College Dublin has 6 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University College Dublin is listed as QS 2026 rank 118. University College Dublin has 6 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University College Dublin as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 6 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-college-dublin.json. The entity-level confidence is 97%. 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 Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Privacy claims.
- Evidence includes Other policy claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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.
AI disclosure
University College Dublin has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
University College Dublin has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University College Dublin has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University College Dublin has 1 source-backed public claim for privacy and data entry; deterministic analysis status: allowed.
Academic integrity
University College Dublin has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
University College Dublin has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University College Dublin has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.
Teaching guidance
University College Dublin has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University College Dublin has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
University College Dublin has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
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
6 reviewed evidence-backed public claim
Academic Integrity
UCD's Academic Integrity Policy says AI-generated content may not be submitted without explicit permission and attribution, and that generative AI outputs must be used critically, ethically, cited, and acknowledged.
Review: Agent reviewed
Normalized value: AI-generated content requires permission and attribution
Original evidence
Evidence 1Submission of AI-generated content without explicit permission and attribution is not allowed.
Teaching
UCD's faculty AI guidelines say a module descriptor must clearly state whether student AI use is permissible in the module and under what conditions.
Review: Agent reviewed
Normalized value: module descriptor AI-use statement required
Original evidence
Evidence 1A clear statement on the use of AI within a module must be included within the module descriptor.
Privacy
UCD guidance directs staff and students toward institutionally supported AI tools that meet University privacy and IT security standards, and warns against entering personal data into external or non-UCD licensed tools.
Review: Agent reviewed
Normalized value: use institutionally supported AI tools for privacy and security; avoid personal data in external tools
Original evidence
Evidence 1Free or alternative services may not have the same protections in place.
Original evidence
Evidence 2Personal data entered into GenAI tools not supported/approved by the University constitutes a breach of GDPR.
Other
University College Dublin publishes University Management Team-approved AI Governance Principles for institutional AI use, including human oversight, fairness, transparency, compliance, ethical design, AI literacy, stakeholder engagement, and risk assessment.
Review: Agent reviewed
Normalized value: UMT-approved institutional AI governance principles
Original evidence
Evidence 1These principles, approved by the University Management Team, guide our use of artificial intelligence.
Academic Integrity
UCD Teaching and Learning assessment guidance advises educators to be transparent with students about permitted AI use and to apply more robust approaches for high-stakes graded assessments.
Review: Agent reviewed
Normalized value: assessment transparency and robustness guidance
Original evidence
Evidence 1the key is being transparent with students about what AI use is permitted.
Academic Integrity
UCD Library guidance for the UCD community advises users to disclose generative AI use in academic work, follow school citation style, keep records of AI interactions, and fact-check AI-generated information.
Review: Agent reviewed
Normalized value: disclose, cite, record, and verify GenAI use
Original evidence
Evidence 1Always disclose your use of generative AI tools in your academic work.
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
6 source attribution
Academic Integrity Policy
hub.ucd.ie
AI Services - UCD IT Services
ucd.ie
Faculty Guidelines for the Use of AI in Teaching and Learning
ucd.ie
GenAI & Assessment Design
ucd.ie
UCD AI Governance Principles
ucd.ie
Using AI - Artificial Intelligence - LibGuides at UCD Library
libguides.ucd.ie
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.
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.