Policy presence
Cardiff University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Cardiff, United Kingdom
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.
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.
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.
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.
Cardiff University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
Cardiff University has 5 source-backed public claims for coursework; deterministic analysis status: recommended.
Cardiff University has 5 source-backed public claims for exams; deterministic analysis status: recommended.
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.
Cardiff University has 2 source-backed public claims for academic integrity; deterministic analysis status: recommended.
Cardiff University has 2 source-backed public claims for approved tools; deterministic analysis status: recommended.
Cardiff University has 2 source-backed public claims for named ai services; deterministic analysis status: recommended.
Cardiff University has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Cardiff University has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
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.
6 reviewed evidence-backed public claim
Ai Tool Treatment
Normalized value: check_module_course_and_university_guidance_before_ai_assessed_work
Original evidence
Evidence 1Before 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
Normalized value: copilot_helpful_for_topic_or_research_question_literature_searching
Original evidence
Evidence 1Generative 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
Normalized value: principle_11_genai_approaches_define_misuse
Original evidence
Evidence 1Providers 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
Normalized value: general_academic_integrity_framework_not_ai_specific
Original evidence
Evidence 1A 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
Normalized value: academic_integrity_module_includes_genai_content
Original evidence
Evidence 1In 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
Normalized value: lta_blog_reports_staff_and_student_ai_education_guidance_activity
Original evidence
Evidence 1Working 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.
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.
4 source attribution
cardiff.ac.uk
cardiff.ac.uk
blogs.cardiff.ac.uk
sites.cardiff.ac.uk
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