London, United Kingdom

Brunel University of London

Brunel University of London is listed as QS 2026 rank =385. Brunel University of London has 5 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

Brunel University of London is listed as QS 2026 rank =385. Brunel University of London has 5 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 Brunel University of London as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 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/brunel-university-of-london.json. The entity-level confidence is 96%. 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 coverage5 reviewedSource languageen, en-GBPublic JSON/api/public/v1/universities/brunel-university-of-london.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • Evidence includes AI tool treatment claims.
  • Named AI services detected in public claims: Microsoft Copilot.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims5Reviewed5Candidate0Official 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 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

Brunel University of London has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence82%Evidence2Sources2

Academic integrity

Brunel University of London has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence2Sources2

Approved tools

Brunel University of London has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence79%Evidence1Sources1

Named AI services

Brunel University of London has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence2Sources1

Teaching guidance

Brunel University of London has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence81%Evidence2Sources2

Research guidance

Brunel University of London has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence82%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

5 reviewed evidence-backed public claim

Privacy

Brunel's student GenAI guidance advises students to avoid entering personal details, confidential records, identifiable information, or personal documents into generative AI tools.

Review: Agent reviewedConfidence96%

Normalized value: Student guidance warns against sharing personal, sensitive, confidential, or identifiable information with GenAI tools

Original evidence

Evidence 1
Avoid entering personal details, confidential records, or identifiable information into GenAI tools.

Localized display only

Student guidance warns against entering personal, confidential, or identifiable information into GenAI tools.

Academic Integrity

Brunel's published principles for generative AI in teaching and learning state that when generative AI is used in assessment, its use must be declared.

Review: Agent reviewedConfidence96%

Normalized value: Assessment use of GenAI must be declared

Original evidence

Evidence 1
Academic Integrity. We'll work to ensure academic integrity is maintained through appropriate guidance on acceptable and unacceptable use. When Generative AI is used in assessment, its use must be declared.

Localized display only

The principles state that assessment use of generative AI must be declared.

Teaching

Brunel's student-facing guidance says generative AI tools can support learning, but students remain responsible for their work and ideas and should use GenAI as a learning aid rather than a shortcut.

Review: Agent reviewedConfidence94%

Normalized value: Student GenAI guidance emphasizes responsible learning support rather than replacement of student work

Original evidence

Evidence 1
This document sets out clear expectations and practical advice for using GenAI tools as part of your academic journey at Brunel University of London. Its purpose is to support and advance your learning and personal development; while ensuring you remain responsible for your work and ideas.

Localized display only

Student GenAI guidance says students remain responsible for their work and ideas.

Ai Tool Treatment

Brunel's student guidance suggests using university-approved GenAI tools such as Copilot or BrunOwl AI Study Buddy, describing them as university-managed tools whose entered information is not used to train AI.

Review: Agent reviewedConfidence93%

Normalized value: University-approved GenAI tools include Copilot and BrunOwl AI Study Buddy

Original evidence

Evidence 1
Use GenAI tools approved by the University, such as Copilot or BrunOwl AI Study Buddy. These are university-managed, and information entered is not used to train the AI.

Localized display only

The guidance suggests university-approved GenAI tools such as Copilot or BrunOwl AI Study Buddy.

Academic Integrity

Brunel University Library's generative AI guide states that use of generative AI tools in an assignment is not permitted unless the module leader has explicitly specified that their use is permitted.

Review: Agent reviewedConfidence90%

Normalized value: Assignment use of GenAI is not permitted unless explicitly allowed by the module leader, according to the library guide's quotation of university guidance

Original evidence

Evidence 1
the use of any type of generative artificial intelligence tools (such as text generating, image generating, computer software generating, and translators) is not permitted in your assignment unless your module leader has explicitly specified that their use is permitted

Localized display only

The library guide quotes official guidance saying assignment use is not permitted unless explicitly allowed by the module leader.

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 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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