Policy presence
University of Westminster has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
London, United Kingdom
University of Westminster has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Westminster has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
University of Westminster has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Westminster has 3 source-backed public claims for exams; deterministic analysis status: restricted.
University of Westminster has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Westminster has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
University of Westminster has 2 source-backed public claims for approved tools; deterministic analysis status: required.
University of Westminster has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
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.
University of Westminster has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
University of Westminster has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
6 reviewed evidence-backed public claim
Academic Integrity
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
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
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
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
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
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.
0 machine or needs-review claim
6 source attribution
libguides.westminster.ac.uk
westminster.ac.uk
westminster.ac.uk
westminster.ac.uk
westminster.ac.uk
westminster.ac.uk