Policy presence
Oxford Brookes University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Oxford, United Kingdom
Oxford Brookes University is listed as QS 2026 rank 374. Oxford Brookes University has 5 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.
v1 public contract
Oxford Brookes University is listed as QS 2026 rank 374. Oxford Brookes University has 5 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.
As of this public record, University AI Policy Tracker lists Oxford Brookes University 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 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/oxford-brookes-university.json. The entity-level confidence is 93%. 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.
Oxford Brookes University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Oxford Brookes University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Oxford Brookes University has 4 source-backed public claims for coursework; deterministic analysis status: required.
Oxford Brookes University has 4 source-backed public claims for exams; deterministic analysis status: required.
Oxford Brookes University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Oxford Brookes University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Oxford Brookes University has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Oxford Brookes University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Oxford Brookes University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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.
5 reviewed evidence-backed public claim
Academic Integrity
Normalized value: student_ai_use_declaration_required
Original evidence
Evidence 1Oxford Brookes students are required to use the form in Moodle to declare which AI tools you have used and how you have used them. You will be emailed a receipt copy of your completed declaration which you must then paste into an appendix at the end of your assignment.
Ai Tool Treatment
Normalized value: embrace_and_adapt_module_leader_discretion
Original evidence
Evidence 1Oxford Brookes has taken what JISC would describe as a progressive 'embrace and adapt' approach to generative AI. Currently: Module leaders have the discretion to advise on AI use in the assessment for their modules; Module handbooks should include up to date information on using GenAI in research or assessment; Students are asked to declare their use of AI on submission of assessment and check with module leaders before using it, in line with QAA guidance.
Academic Integrity
Normalized value: ai_unfair_advantage_may_breach_conduct
Original evidence
Evidence 1Remember that AI tools should not be used to replace you as the author of your work. If you gain an unfair advantage using AI tools, you may breach the Oxford Brookes academic conduct regulations.
Privacy
Normalized value: copilot_available_but_no_confidential_uploads
Original evidence
Evidence 1Oxford Brookes students and staff have access to the data-secure Microsoft Co-pilot AI chatbot, available through a Microsoft academic institutional licence. However, we do not recommend you upload any confidential or protected data or information because Co-pilot does not comply with Brookes' expectations of good practice with regard to information security.
Teaching
Normalized value: programme_module_genai_principles
Original evidence
Evidence 1These principles can be applied in every subject discipline and programme area. Their specific application should be discussed and agreed at programme/course and module level. Every module should: Principle 1: Ensure equity in student access to GenAI; Principle 2: Uphold academic rigour and integrity. Every programme is advised to: Principle 3: Develop students' GenAI literacy and skills; Principle 4: Adopt authentic assessment.
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.
5 source attribution
brookes.ac.uk
brookes.ac.uk
brookes.ac.uk
brookes.ac.uk
brookes.ac.uk
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