Cardiff, United Kingdom

Cardiff University

Cardiff University is listed as QS 2026 rank 181. Cardiff University has 6 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Cardiff University is listed as QS 2026 rank 181. Cardiff University has 6 source-backed AI policy claim records from 4 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 Cardiff University as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/cardiff-university.json. The entity-level confidence is 90%. 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 coverage6 reviewedSource languageen-GBPublic JSON/api/public/v1/universities/cardiff-university.json

Policy signals in this record

  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • Evidence includes Academic integrity claims.
  • Named AI services detected in public claims: Microsoft Copilot.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims6Reviewed6Candidate0Official sources4

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 score70/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence73%

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

No source-backed public claim about AI disclosure or acknowledgement is present in this profile.

The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Privacy and data entry

No source-backed public claim about privacy or data-entry restrictions is present in this profile.

The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

6 reviewed evidence-backed public claim

Ai Tool Treatment

Cardiff University's public library guidance tells students to check module or course guidance and the University's student AI guidance before using any AI tool to support assessed work.

Review: Agent reviewedConfidence90%

Normalized value: check_module_course_and_university_guidance_before_ai_assessed_work

Original evidence

Evidence 1
Before you use any AI tool to support your assessed work, please check the guidance from your module or course and read the University's guidance for students on using artificial intelligence in your learning.

Ai Tool Treatment

Cardiff University's public library guidance presents generative AI tools such as Microsoft Copilot as potentially helpful for identifying a research topic or defining a research question in the context of literature searching.

Review: Agent reviewedConfidence88%

Normalized value: copilot_helpful_for_topic_or_research_question_literature_searching

Original evidence

Evidence 1
Generative AI tools such as Microsoft Copilot can be helpful when you need to identify a topic to research and/or define a research question.

Teaching

Cardiff University's 2025/26 Academic Regulations and Policies include a teaching, learning and assessment expectation that providers establish communicated approaches to technologies such as Generative Artificial Intelligence and define misuse of those technologies.

Review: Agent reviewedConfidence86%

Normalized value: principle_11_genai_approaches_define_misuse

Original evidence

Evidence 1
Providers establish coherent approaches to technologies that impact teaching, learning and assessment (such as Generative Artificial Intelligence). These approaches are clearly communicated to staff and students, include how they are utilised and define misuse of such technologies.

Academic Integrity

Cardiff University's Academic Integrity Policy expects students to maintain high standards of academic practice and provides that the relevant Academic Misconduct Procedure applies where concerns are raised about alleged academic misconduct.

Review: Agent reviewedConfidence84%

Normalized value: general_academic_integrity_framework_not_ai_specific

Original evidence

Evidence 1
A student is expected to maintain high standards of academic practice and not engage in academic misconduct. The relevant Academic Misconduct Procedure will be applied to any student where concerns are raised that they have not followed the appropriate academic procedures or standards, and are alleged to have engaged in academic misconduct.

Academic Integrity

A Cardiff Learning and Teaching Academy post says students are encouraged to complete Cardiff's Academic Integrity module and that the module includes generative AI content in the context of academic integrity.

Review: Agent reviewedConfidence82%

Normalized value: academic_integrity_module_includes_genai_content

Original evidence

Evidence 1
In the meantime, please encourage students to complete the Academic Integrity module in their Learning Central Organisations. The module includes content on using generative AI in the context of academic integrity. By completing the module, students develop their understanding of honest, ethical and responsible conduct when submitting academic work.

Teaching

A Cardiff Learning and Teaching Academy post reports that Cardiff published updated staff guidance on AI in education on the intranet and worked with students on guidance for ethical and responsible generative AI use in learning.

Review: Agent reviewedConfidence78%

Normalized value: lta_blog_reports_staff_and_student_ai_education_guidance_activity

Original evidence

Evidence 1
Working with colleagues in the AI in Education Group, we have published updated staff guidance on the use of AI in education, now available on the intranet. This resource offers practical advice, examples, and considerations for integrating AI into teaching and learning in a responsible and pedagogically sound way. We have also worked with students to create new guidance to support them in the ethical and responsible use of generative AI technologies as part of their learning experience.

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

4 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 15, 2026Last changedMay 15, 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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