Manchester, United Kingdom

The University of Manchester

The University of Manchester has 12 source-backed AI policy claims from 6 official source attributions. Review state: agent reviewed; 12 reviewed claims. Last checked May 10, 2026.

The University of Manchester AI policy short answer

v1 public contract

The University of Manchester has 12 source-backed AI policy claims from 6 official source attributions, including 12 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 10, 2026. Discovery context: The University of Manchester is listed as QS 2026 rank 35.

Citation-ready summary

As of this public record, University AI Policy Tracker lists The University of Manchester as an agent-reviewed AI policy record last checked on May 10, 2026 and last changed on May 10, 2026. The record contains 12 source-backed claims, including 12 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/manchester.json. The entity-level confidence is 98%. 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 coverage12 reviewedSource languageenPublic JSON/api/public/v1/universities/manchester.json

Policy signals in this record

  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • Evidence includes Privacy claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Research 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 claims12Reviewed12Candidate0Official sources6

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 confidence82%

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.

Policy presence

The University of Manchester has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence83%Evidence1Sources1

AI disclosure

The University of Manchester has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence82%Evidence3Sources2

Coursework

The University of Manchester has 5 source-backed public claims for coursework; deterministic analysis status: blocked.

BlockedMachine candidateConfidence83%Evidence5Sources2

Exams

The University of Manchester has 5 source-backed public claims for exams; deterministic analysis status: blocked.

BlockedMachine candidateConfidence83%Evidence5Sources2

Privacy and data entry

The University of Manchester has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence82%Evidence3Sources3

Academic integrity

The University of Manchester has 4 source-backed public claims for academic integrity; deterministic analysis status: blocked.

BlockedMachine candidateConfidence83%Evidence4Sources2

Approved tools

The University of Manchester has 5 source-backed public claims for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence82%Evidence5Sources3

Named AI services

The University of Manchester has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence82%Evidence5Sources3

Teaching guidance

The University of Manchester has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence82%Evidence4Sources1

Research guidance

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

RecommendedMachine candidateConfidence81%Evidence1Sources1

Security and procurement

The University of Manchester has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

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

12 reviewed evidence-backed public claim

Ai Tool Treatment

The University of Manchester does not ban generative AI. The university's position is that when used appropriately, AI tools have the potential to enhance teaching and learning, and can support inclusivity and accessibility.

Review: Agent reviewedConfidence98%

Oryginalny dowod

Evidence 1
The University position is that, when used appropriately, AI tools have the potential to enhance teaching and learning and can support inclusivity and accessibility. Output from AI systems must be treated in the same manner by staff and students as work created by another person or persons, used critically and with permitted license, and cited and acknowledged appropriately.

Teaching

Manchester has adopted five core principles for AI use: transparency, accountability, competence, responsible use, and respect. All staff and students using or developing AI are personally responsible for adhering to these.

Review: Agent reviewedConfidence98%

Oryginalny dowod

Evidence 1
The University has adopted the following principles, building on existing frameworks for academic integrity and emerging guidance on AI. All staff and students using or developing AI are personally responsible for adhering to these.

Ai Tool Treatment

The University of Manchester is the world's first university to deploy equitable Microsoft 365 Copilot access and training across its entire community, with 65,000 colleagues and students receiving the full M365 Copilot suite.

Review: Agent reviewedConfidence98%

Oryginalny dowod

Evidence 1
The University has announced a strategic collaboration with Microsoft, making Manchester the world's first university to deploy equitable Microsoft 365 Copilot access and training across its entire community. This means 65,000 colleagues and students will benefit from the full Microsoft 365 Copilot suite.

Privacy

Copilot Chat is available to everyone with a University of Manchester account. The university has a contractual agreement with Microsoft ensuring prompts and uploaded files are private, protected by the same security and encryption as emails and OneDrive. The AI system does not learn from user prompts or data.

Review: Agent reviewedConfidence98%

Oryginalny dowod

Evidence 1
Copilot Chat is an AI-powered assistant available to everyone with a University account... Your prompts and uploaded files are private – no one else can see them and they are protected by the same security and encryption techniques as your emails and the contents of your OneDrive or SharePoint Sites. Copilot Chat's AI system does not learn from your prompts or data.

Academic Integrity

Submitting work created by generative AI as one's own, or misrepresenting understanding of the subject, is plagiarism at Manchester and will be dealt with in accordance with the University's Academic Malpractice Procedure.

Review: Agent reviewedConfidence98%

Oryginalny dowod

Evidence 1
Submitting work created by Generative AI as their own, or to misrepresent their understanding of the subject, is plagiarism and will be dealt with in accordance with the University's Academic Malpractice Procedure.

Academic Integrity

Tools to detect AI-generated content are unreliable and biased and cannot be relied on to identify academic malpractice in summative assessment at Manchester. Output from such tools cannot currently be used as evidence of malpractice.

Review: Agent reviewedConfidence98%

Oryginalny dowod

Evidence 1
Tools to detect AI-generated content are unreliable and biased and cannot be relied on to identify academic malpractice in summative assessment. Output from such tools cannot currently be used as evidence of malpractice.

Academic Integrity

Students at Manchester must cite or acknowledge the outputs of generative AI tools when they use them in their work, including quoting, summarising, paraphrasing, editing, translating, data processing, re-writing, and idea generation.

Review: Agent reviewedConfidence98%

Oryginalny dowod

Evidence 1
You must cite or acknowledge the outputs of generative A.I. tools when you use them in your work. Quotating, summarising and paraphrasing, editing, translating, data processing, re-writing your work and the generation of ideas.

Ai Tool Treatment

University-approved enterprise AI tools (Microsoft Copilot Chat for all, M365 Copilot via licences) must be used whenever there is a risk of inappropriate disclosure. Free-to-use public AI services should only be used with extreme caution due to data disclosure risks.

Review: Agent reviewedConfidence95%

Oryginalny dowod

Evidence 1
Many generative AI tools are available as either free-to-use public services or paid-for enterprise services. Free-to-use public services often store user input, potentially disclosing the content to third parties. They should only be used with extreme caution... University-approved enterprise AI tools must be used whenever there is a risk of inappropriate disclosure.

Teaching

With approval at School level, Manchester's default AI position may be broadened or narrowed for specific course units or assignments. Students must be given detailed information explaining the rationale and what is and is not allowed.

Review: Agent reviewedConfidence95%

Oryginalny dowod

Evidence 1
With approval at School level, this position may be broadened or narrowed for specific Course Units or assignments to encourage, require, or disallow specific uses of AI. In such cases students must be given detailed information that explains the rationale for the variation from the default position, as well as what is and is not allowed.

Teaching

Using an AI tool to correct grammar or spelling is acceptable at Manchester, but students should ensure that use of the tool does not result in substantive changes to the content or meaning of their work.

Review: Agent reviewedConfidence95%

Oryginalny dowod

Evidence 1
Using an AI tool to correct grammar or spelling is acceptable, but where a student uses an AI tool for proofreading work submitted for assessment, they should ensure that use of the tool does not result in substantive changes to the content or meaning of their work.

Research

Manchester recognises the potential of AI to power research and innovation. Any use of AI to generate data should be completely transparent. Using AI to fabricate or manipulate data without clear declaration constitutes research misconduct.

Review: Agent reviewedConfidence95%

Oryginalny dowod

Evidence 1
The University recognises the potential of AI to power research and innovation... Any use of AI to generate data should be completely transparent... Using AI to fabricate or manipulate data such as experimental measurements, interview texts or research images, without clear declaration, constitutes research misconduct.

Ai Tool Treatment

The University recommends Microsoft Copilot for AI-related work. It is GDPR-compliant and protects University and personal data. Staff should always carefully consider whether adding personal information into an AI tool is necessary.

Review: Agent reviewedConfidence95%

Oryginalny dowod

Evidence 1
Microsoft Copilot: The University recommends using Microsoft Copilot for AI-related work. It is GDPR-compliant and protects University and personal data. Even though Copilot is GDPR compliant, you should ALWAYS carefully consider whether adding personal information into an AI tool is necessary.

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

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 10, 2026Last changedMay 10, 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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