Dublin, Ireland

Dublin City University

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.

Short answer

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.

Citation-ready summary

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.

Claim coverage7 reviewedSource languageenPublic JSON/api/public/v1/universities/dublin-city-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Privacy claims.
  • Evidence includes Research claims.
  • Evidence includes Source status claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims7Reviewed7Candidate0Official sources6

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 confidence78%

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.

Teaching guidance

Dublin City University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence75%Evidence1Sources1

Security and procurement

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

7 reviewed evidence-backed public claim

Academic Integrity

DCU's Academic Integrity Policy lists submitting unauthorised Generative Artificial Intelligence generated work as academic misconduct.

Review: Agent reviewedConfidence95%

Original evidence

Evidence 1
Academic misconduct includes, but is not limited to the following: ... Submitting unauthorised Generative Artificial Intelligence generated work.

Privacy

DCU Graduate Studies guidance tells research students not to submit research data, personal data, or sensitive information to free AI tools.

Review: Agent reviewedConfidence94%

Original evidence

Evidence 1
For 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

DCU Graduate Studies guidance says that, from September 2025, research-degree regulations will require declarations on which generative AI tools were used and how.

Review: Agent reviewedConfidence93%

Original evidence

Evidence 1
From 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

DCU's AI position statement tells staff to act legally, ethically and transparently, disclose generative AI use for university-related work, and avoid sharing personal, confidential, institutional or strategic data with AI tools.

Review: Agent reviewedConfidence92%

Original evidence

Evidence 1
Be 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

DCU has a public position statement on the use of AI tools and says it will develop a policy on AI use; this run did not find a finalized central AI-use policy page.

Review: Agent reviewedConfidence90%

Original evidence

Evidence 1
It 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

DCU's DTS AI Hub states that, to keep data protected, users must use only DCU authorised AI tools and must be logged in with their DCU account.

Review: Agent reviewedConfidence90%

Original evidence

Evidence 1
To 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

DCU's Teaching Enhancement Unit asks staff to consider assessment design for GenAI by designing tools in or redesigning assessment to avoid possible academic integrity breaches, and says DCU is not employing GenAI detectors for student assessments at this time.

Review: Agent reviewedConfidence88%

Original evidence

Evidence 1
Staff 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...

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

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 16, 2026Last changedMay 16, 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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