Coventry, United Kingdom

The University of Warwick

The University of Warwick is listed as QS 2026 rank 74. The University of Warwick has 10 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

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The University of Warwick is listed as QS 2026 rank 74. The University of Warwick has 10 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims10Reviewed10Candidate0Official sources5

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 confidence80%

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

The University of Warwick has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence81%Evidence1Sources1

Privacy and data entry

The University of Warwick has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence2Sources2

Teaching guidance

The University of Warwick has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence78%Evidence1Sources1

Research guidance

The University of Warwick has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence2Sources1

Security and procurement

The University of Warwick has 2 source-backed public claims for security and procurement; deterministic analysis status: required.

RequiredMachine candidateConfidence81%Evidence2Sources1

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

10 reviewed evidence-backed public claim

Procurement

Warwick's AI Information Compliance Policy says all new uses of AI tools, products, or services must go through appropriate procurement processes, regardless of cost.

Review: Agent reviewedConfidence96%

Normalized value: New AI tool uses require appropriate procurement processes

Original evidence

Evidence 1
Regardless of costs, all new uses of AI tools and services/products or services, must go through appropriate procurement processes.

Localized display only

New AI tool or service uses must go through appropriate procurement processes regardless of cost.

Academic Integrity

Warwick's student-facing guidance says students are required to state whether AI was used in the submission process and explain why, where, and how it was used.

Review: Agent reviewedConfidence95%

Normalized value: Students must disclose AI use when used in submissions

Original evidence

Evidence 1
You will be required to state if any AI has been used as part of the submission procedure. If you use an AI, you must set out why, where and how you have done so.

Localized display only

Students must state AI use and explain why, where, and how it was used.

Security Review

Warwick's AI Information Compliance Policy covers everyone with a contractual or implied relationship with the University and all information processed by the University.

Review: Agent reviewedConfidence95%

Normalized value: AI information compliance policy applies to members and university-processed information

Original evidence

Evidence 1
The policy covers everyone who has a contractual (formal or informal/implied) relationship with the University, including employees, students, visiting academics, and consultants. The policy covers all information processed by the University, regardless of ownership or format.

Localized display only

The AI information compliance policy applies to covered University members and University-processed information.

Privacy

Warwick's AI Information Compliance Policy says certain data, including personal or confidential material, University intellectual property, and some copyrighted or third-party data, must not be put into AI software without prior approval.

Review: Agent reviewedConfidence95%

Normalized value: Restricted data must not be entered into AI software without prior approval

Original evidence

Evidence 1
Certain types of data must never be put into any AI software, without prior approval from IDG or the Research Ethics Committee. These include: Passwords and usernames. Personally identifiable information (PII) or other sensitive or confidential material. Any data related to University Intellectual Property.

Localized display only

Restricted data types must not be put into AI software without prior approval.

Academic Integrity

Warwick's student-facing guidance says students may use AI only within requirements set out in assessment briefs and course handbooks, which may restrict or prohibit AI use.

Review: Agent reviewedConfidence94%

Normalized value: Student AI use depends on assessment and course requirements

Original evidence

Evidence 1
The general position is that you can use Artificial Intelligence (AI) but must follow any requirements set out in assessments and course handbooks. Those requirements may restrict or prohibit the use of AI.

Localized display only

Student AI use is conditional on assessment and course requirements.

Research

Warwick's AI in research guidance says its principles apply to all researchers and researchers must consider AI-related research risks including integrity, information security, and accountability risks.

Review: Agent reviewedConfidence94%

Normalized value: AI research guidance applies to all researchers and risk categories

Original evidence

Evidence 1
The principles set out in this guidance apply to all researchers as previously defined. Researchers must consider all risks that may be relevant to their research that arise from AI.

Localized display only

Warwick AI research guidance applies to all researchers and requires consideration of AI-related research risks.

Privacy

Warwick's student-facing guidance tells students not to enter personal or confidential data into AI tools unless they understand what will happen to the data, and recommends Copilot chat with a Warwick account for that kind of data.

Review: Agent reviewedConfidence93%

Normalized value: Student AI privacy guidance directs caution and recommends Warwick-authenticated Copilot chat

Original evidence

Evidence 1
Do not input any personal or confidential data into any AI tools, unless you fully understand what will happen to that data. The university recommends using Co-Pilot chat for this kind of data - when logged in with your Warwick account.

Localized display only

Students are told not to enter personal or confidential data into AI without understanding data handling.

Research

Warwick's AI in research guidance says researchers are responsible for misconduct-type practices involving AI, including improper handling of information or use of another person's ideas, even if such practices occur inadvertently through an AI tool.

Review: Agent reviewedConfidence93%

Normalized value: Researchers remain responsible for AI-enabled research misconduct risks

Original evidence

Evidence 1
Misconduct in research includes: the fabrication or falsification of research data; improper handling of information on individuals collected during research; or the use of another person's ideas, work or research data without appropriate acknowledgement. Researchers are responsible for any such practices, even if they occur inadvertently through the use of an AI tool.

Localized display only

The research guidance keeps researchers responsible for AI-enabled misconduct-type practices.

Teaching

Warwick's assessment-design guidance says generative AI use in student submissions needs thoughtful support so responsible use and clear demonstration of human achievement are maintained.

Review: Agent reviewedConfidence92%

Normalized value: Assessment design guidance calls for supported responsible AI use

Original evidence

Evidence 1
use of generative AI technologies to produce text and other media as part of student submissions ... needs to be thoughtfully supported to ensure responsible use and clear demonstration of human achievements.

Localized display only

Assessment guidance says AI use in submissions needs support for responsible use and clear human achievement.

Ai Tool Treatment

Warwick's responsible-use guidance frames responsible AI use as honest, ethical, transparent, human-accountable, safe, secure, and attentive to bias, fairness, inclusivity, and accessibility.

Review: Agent reviewedConfidence91%

Normalized value: Responsible AI use principles emphasize human accountability, transparency, safety, and fairness

Original evidence

Evidence 1
Responsible use includes ... using AI with honesty, in ethical and defensible ways, with human responsibility taken for the outcomes; being transparent about AI use; making concerted efforts to maximise safe and secure use; using AI in ways that mitigate bias and promote fairness, inclusivity and accessibility.

Localized display only

Responsible AI use is framed around honesty, human responsibility, transparency, safety, security, fairness, inclusivity, and accessibility.

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

5 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 12, 2026Last changedMay 12, 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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