Change log
Release-to-release tracker diff with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Current public record freshness and review state.
University College Dublin currently has 6 source-backed claim records and 6 official source attributions. Latest tracked changed date: May 14, 2026. No tracker diff rows are recorded in the latest public release.
This tracker 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.
Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.
Semantic classification for this release diff.
Unified tracker diff generated from the previous and current public release snapshots.
No tracker claim/evidence/source changes are recorded for this university in the latest public release.
6 claim records
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.
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.
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.
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.
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.
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.
6 source attributions
official_pdf Tracker checked at May 14, 2026, 12:48 PM
official_guidance Tracker checked at May 14, 2026, 12:44 PM
official_pdf Tracker checked at May 14, 2026, 12:41 PM
official_guidance Tracker checked at May 14, 2026, 12:40 PM
official_guidance Tracker checked at May 14, 2026, 12:43 PM
official_guidance Tracker checked at May 14, 2026, 12:42 PM