Manchester, United Kingdom

Manchester Metropolitan University.

Manchester Metropolitan University. has 5 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 17, 2026.

Manchester Metropolitan University. AI policy short answer

v1 public contract

Manchester Metropolitan University. has 5 source-backed AI policy claims from 4 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 17, 2026.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Manchester Metropolitan University. as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 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/manchester-metropolitan-university.json. The entity-level confidence is 95%. 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 languageenPublic JSON/api/public/v1/universities/manchester-metropolitan-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Privacy claims.
  • Named AI services detected in public claims: Microsoft Copilot.
  • 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.
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 confidence78%

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

Manchester Metropolitan University. has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Privacy and data entry

Manchester Metropolitan University. has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence79%Evidence1Sources1

Research guidance

Manchester Metropolitan University. has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%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

Academic Integrity

Manchester Metropolitan University's 2025/26 Academic Misconduct Policy treats unauthorised generative AI use in assessment, where a student attempts to gain an unfair advantage by passing it off as their own work, as academic misconduct that may be investigated under the policy.

Review: Agent reviewedConfidence95%

Normalized value: unauthorised-ai-passing-off-may-be-academic-misconduct

Original evidence

Evidence 1
Where a student has made unauthorised use of generative artificial intelligence within their assessment and has attempted to gain an unfair advantage by passing this work off as their own. The severity of the offence, and consequently the penalty, will depend on the student’s academic level, whether it is a first or subsequent offence, and the level of use.

Ai Tool Treatment

Manchester Metropolitan University tells students to check the assessment brief for specific instructions on generative AI, says they should only use AI as directed, and says they cannot use it to create the assessment itself.

Review: Agent reviewedConfidence93%

Normalized value: assessment-brief-specific-ai-use

Original evidence

Evidence 1
You should always check the assessment brief for specific instructions. The key principles to work to are: Your work should always authentically represent your capabilities. You should never trust the outputs of generative AI uncritically. You cannot use it to create the assessment itself.

Privacy

Manchester Metropolitan University's teaching guidance says it has opted out of enabling AI-generated text detection software for the foreseeable future and tells colleagues not to upload student work into online AI detection services because they are unreliable and the uploaded data is not secure.

Review: Agent reviewedConfidence93%

Normalized value: no-online-ai-detection-upload-of-student-work

Original evidence

Evidence 1
Like the overwhelming majority of UK higher education institutions, Manchester Met has opted out of enabling this software as a means of detecting generative AI for the foreseeable future. Colleagues must not upload student work into an online AI detection service. These are not reliable and the data uploaded is not secure.

Ai Tool Treatment

Manchester Metropolitan University's teaching guidance identifies Microsoft Copilot as the approved generative AI tool for generating text and images, available to staff and students for free with university credentials.

Review: Agent reviewedConfidence92%

Normalized value: microsoft-copilot-approved-generative-ai-tool

Original evidence

Evidence 1
The University’s approved generative AI tool that can be used to generate text and images is Microsoft Copilot. Staff and students can use the tool for free with their university credentials.

Academic Integrity

Manchester Metropolitan University library guidance says some generative AI uses do not need citation, but documented AI-assisted search strategies, approved research-project AI use, AI-generated media in submitted assessments, and AI-generated code or Excel formulas must be cited or referenced.

Review: Agent reviewedConfidence90%

Normalized value: generative-ai-referencing-depends-on-use

Original evidence

Evidence 1
If you have been granted approval to use generative AI tools in your research project, you must cite and reference the AI tool as well as keep a record of how you used the tool including prompts and outputs. ... If using AI tools to generate code or Excel formulas you must cite and reference the AI tool.

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 17, 2026Last changedMay 17, 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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