Policy presence
Dublin City University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Dublin, Ireland
Dublin City University is listed as QS 2026 rank =410. Dublin City University has 7 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.
v1 public contract
Dublin City University is listed as QS 2026 rank =410. Dublin City University has 7 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.
As of this public record, University AI Policy Tracker lists Dublin City University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 7 source-backed claims, including 7 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/dublin-city-university.json. The entity-level confidence is 95%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
Dublin City University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Dublin City University has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Dublin City University has 3 source-backed public claims for coursework; deterministic analysis status: required.
Dublin City University has 3 source-backed public claims for exams; deterministic analysis status: required.
Dublin City University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Dublin City University has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Dublin City University has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Dublin City University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Dublin City University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Dublin City University has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
7 reviewed evidence-backed public claim
Academic Integrity
Original evidence
Evidence 1Academic misconduct includes, but is not limited to the following: ... Submitting unauthorised Generative Artificial Intelligence generated work.
Privacy
Original evidence
Evidence 1For free AI tools, it is strongly recommended that you think first before uploading data. Do not submit research data, personal data, or sensitive information to free AI tools.
Research
Original evidence
Evidence 1From September 2025, DCU's regulations for academic awards by research degrees will mandate declarations on which (if any) Gen AI tools have been used... Candidates are also required to make a declaration on what Gen AI tools (if any) have been used and how.
Privacy
Original evidence
Evidence 1Be transparent and document your use of AI. The use of generative AI for any University related research, scholarship or work, should be clearly disclosed... Ensure that you do not share any content that compromises an individual's privacy, confidential university processes...
Source Status
Original evidence
Evidence 1It is timely that we adopt a clear statement on our position on the use of Artificial Intelligence tools in the university. This will be a living document... As our position evolves DCU will: Develop a Policy on AI use...
Ai Tool Treatment
Original evidence
Evidence 1To mitigate this risk, DCU has established formal contractual and data governance agreements with the authorised tools listed below. To ensure your data remains protected, you must use only these tools ensuring you are logged in with your DCU account.
Teaching
Original evidence
Evidence 1Staff are asked to consider their assessment design and have GenAI tools designed into them (designed-in) or (re-)designed to avoid possible breaches of academic integrity... We are not employing GenAI detectors for student assessments at this time...
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.
6 source attribution
dcu.ie
dcu.ie
dcu.ie
dcu.ie
dcu.ie
dcu.ie
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 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.