Policy presence
University of Westminster has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
London, United Kingdom
University of Westminster
University of Westminster has 6 source-backed AI policy claims from 6 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 20, 2026.
University of Westminster AI policy short answer
v1 public contract
University of Westminster has 6 source-backed AI policy claims from 6 official source attributions, including 6 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 20, 2026. Discovery context: University of Westminster is listed as QS 2026 rank 801-850.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Westminster as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 6 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-westminster.json. The entity-level confidence is 94%. 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.
Policy signals in this record
- Evidence includes Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Research claims.
- Evidence includes Security review claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- 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.
Review: Agent reviewed
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.
Review: Machine candidate
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
University of Westminster has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
University of Westminster has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Westminster has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Westminster has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Westminster has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
University of Westminster has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
University of Westminster has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
Teaching guidance
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
Research guidance
University of Westminster has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
University of Westminster has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
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
Academic Integrity
Westminster student guidance says students must disclose any use of GenAI for assessed coursework and remain responsible for the originality, accuracy, and integrity of their work.
Review: Agent reviewed
Normalized value: students_must_disclose_assessed_genai_use
Original evidence
Evidence 1With every assessed submission where AI was used, you must include: Artificial Intelligence Use Declaration ... I confirm that I have not used AI to generate content that I am presenting as my own work.
Localized display only
Students must include an AI-use declaration for assessed submissions where AI was used.
Academic Integrity
Westminster's student GenAI rules identify using AI to write essays, reports, or code on a student's behalf, using AI to carry out analysis or arguments, and submitting AI-generated content without declaring it as not permitted.
Review: Agent reviewed
Normalized value: specified_student_genai_uses_not_permitted
Original evidence
Evidence 1At the University of Westminster, the following is NOT permitted: Using AI to write essays, reports, or code on your behalf ... Using AI to carry out your analysis or construct arguments ... Submitting AI-generated content without declaring it.
Localized display only
The library guide lists specific student GenAI uses that are not permitted.
Ai Tool Treatment
University of Westminster's GenAI policy applies to students, colleagues, third-party suppliers, and partners, and frames GenAI as an assistant or creative partner rather than a replacement for human ingenuity.
Review: Agent reviewed
Normalized value: formal_genai_policy_applies_broadly_and_frames_ai_as_assistant
Original evidence
Evidence 1It applies to all students. colleagues, third-party suppliers, and partners engaged in using or developing such systems within or on behalf of our institution.
Localized display only
The policy applies to students, colleagues, suppliers, and partners using or developing GenAI for or within Westminster.
Research
Westminster's academic research GenAI guidance tells researchers and academic staff not to enter confidential or sensitive data into public or commercial generative AI tools, and to have specialist tools assessed by ISS when confidential data is involved.
Review: Agent reviewed
Normalized value: researchers_should_not_enter_confidential_data_into_public_ai_tools
Original evidence
Evidence 1Do not enter confidential or sensitive data, including non-public research data, personal information, or any other data classified as confidential, into public or commercial generative AI tools.
Localized display only
Research guidance tells researchers not to enter confidential or sensitive data into public or commercial AI tools.
Security Review
University of Westminster's GenAI policy requires GenAI-related data to be handled in line with data protection and security requirements, and says high-risk GenAI systems should not go into production without remediation.
Review: Agent reviewed
Normalized value: data_protection_security_and_high_risk_remediation_required
Original evidence
Evidence 1All data used in the development and operation of GenAI systems must respect the privacy and rights of individuals involved and be securely transmitted, stored and managed in accordance with the University of Westminster's Data Protection Policy and relevant data protection laws.
Localized display only
The policy requires GenAI data handling to follow privacy, security, and data protection requirements.
Research
Westminster doctoral researcher guidance says doctoral assessments and research outputs must be the researcher's own original work, and that using GenAI to generate doctoral research content without agreement and disclosure is academic misconduct.
Review: Agent reviewed
Normalized value: doctoral_genai_content_without_agreement_and_disclosure_is_misconduct
Original evidence
Evidence 1In summary Using GenAI to generate content for your doctoral research without agreement and disclosure is unethical and violates academic and research integrity. Doing this is academic misconduct.
Localized display only
Doctoral guidance says GenAI-generated doctoral research content without agreement and disclosure is academic misconduct.
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
6 source attribution
GenAI: Ethics and Rules - Generative AI - LibGuides at University of Westminster
libguides.westminster.ac.uk
Guidance for Doctoral Researchers on the Use of Generative Artificial Intelligence
westminster.ac.uk
Guidance for students on using Generative AI
westminster.ac.uk
Policy in relation to the safe use of Generative AI (GenAI)
westminster.ac.uk
Resources and Guidelines for Using Generative Artificial Intelligence (AI) in Academic Research
westminster.ac.uk
Student Guidance: Using Artificial Intelligence Tools in Your Studies
westminster.ac.uk
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.
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.