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.
Open, evidence-backed AI policy records for public reuse.
Change log
Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.
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.
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.
Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.
Inserted lines represent current public claim and evidence records in the source-backed dataset.
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 checked May 14, 2026
official_guidance checked May 14, 2026
official_pdf checked May 14, 2026
official_guidance checked May 14, 2026
official_guidance checked May 14, 2026
official_guidance checked May 14, 2026