Policy presence
Middlesex University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
London, United Kingdom
Middlesex University
Middlesex University has 5 source-backed AI policy claims from 5 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 20, 2026.
Middlesex University AI policy short answer
v1 public contract
Middlesex University has 5 source-backed AI policy claims from 5 official source attributions, including 5 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: Middlesex University is listed as QS 2026 rank 801-850.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Middlesex University as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 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/middlesex-university.json. The entity-level confidence is 92%. 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 Teaching claims.
- Evidence includes Privacy 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
Middlesex University has 3 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Middlesex University has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Middlesex University has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Middlesex University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: conditionally_allowed.
Academic integrity
Middlesex University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Middlesex University has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Named AI services
Middlesex University has 2 source-backed public claims for named ai services; deterministic analysis status: required.
Teaching guidance
Middlesex University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Middlesex University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
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
Academic Integrity
Middlesex guidance tells students to consult their module tutor before using AI for studies or assignments and says submitting AI-generated work as their own is a breach of academic integrity.
Review: Agent reviewed
Normalized value: consult-module-tutor-ai-generated-work-as-own-breach
Original evidence
Evidence 1Please consult with your module tutor before using AI for your studies or an assignment. It is crucial that you only use AI for your studies or an assignment where your tutor has advised regarding whether and how AI should be used for their module. AI can generate a wide range of materials, including text, images, code and even ideas. Using AI to support your learning can be beneficial if used responsibly and with integrity. However, submitting work generated by AI as your own work is a breach of academic integrity.
Ai Tool Treatment
Middlesex states that generative AI tools may be used in assessments only as specified by the module leader, and allowed use requires written acknowledgment, extent of use, generation details including prompts, and citation or referencing where generated material is not adapted.
Review: Agent reviewed
Normalized value: module-leader-specified-ai-assessment-use-with-acknowledgment
Original evidence
Evidence 1Generative Artificial Intelligence (AI) tools may be used in your assessments as specified by the module leader. Where the use of Generative AI is allowed you must provide, as a minimum: written acknowledgment of the use of generative artificial intelligence; the extent of use, and how generated materials were used; descriptions of how the information was generated (including the prompts used).
Teaching
Middlesex guidance says assessment criteria should make clear when and how students can use AI for each assessment, and how to acknowledge AI use appropriately.
Review: Agent reviewed
Normalized value: assessment-criteria-should-state-ai-use-and-acknowledgment
Original evidence
Evidence 1It may be that some assessments explicitly ask students to work with Generative AI while others specify that AI should not be used, or used in specific ways. It must be made clear to students within the assessment criteria when and how they can use AI for each assessment, and how to acknowledge appropriately when they do so.
Academic Integrity
Middlesex copyright guidance says AI-generated references should be authenticated before being requested or cited, and that fake AI references can result in academic misconduct proceedings if used in coursework assignments.
Review: Agent reviewed
Normalized value: authenticate-ai-generated-references-before-citing
Original evidence
Evidence 1AI generated references must be authenticated before requesting copies from the library or citing them in your work. AI tools have been creating fake references which result in unnecessary work for the Inter- Library Loans team and can also result in academic misconduct proceedings if used in coursework assignments. You should always say where you have used AI to generate a piece of work for complete transparency.
Privacy
Middlesex copyright guidance flags GDPR infringement as a legal and ethical issue where personal data is included in AI-sourced, uploaded, or generated content, and notes that AI tool terms may require users to own or have permission for uploaded content and grant retention and reuse permissions.
Review: Agent reviewed
Normalized value: ai-upload-copyright-permission-and-gdpr-cautions
Original evidence
Evidence 1Other legal and ethical issues to consider include: GDPR infringement where personal data is included in the content sourced, uploaded and generated. Other issues to consider when uploading content to AI tools are: the terms of AI tools require the user to own the copyright or have permission to upload the content onto their platform and to grant permission for it to be retained and used indefinitely by the tool and it's users.
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
AI - Copyright - My Subject at Middlesex University Library and Student Support
libguides.mdx.ac.uk
Home - Generative AI - My Subject at Middlesex University Library and Student Support
libguides.mdx.ac.uk
Plagiarism and academic integrity - Referencing & Plagiarism
libguides.mdx.ac.uk
Referencing AI / Generative AI Personal Communications - Generative AI
libguides.mdx.ac.uk
Using AI in your studies - Generative AI
libguides.mdx.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.