Glasgow, United Kingdom

University of Glasgow

University of Glasgow is listed as QS 2026 rank 79. University of Glasgow has 12 source-backed AI policy claim records from 8 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

University of Glasgow is listed as QS 2026 rank 79. University of Glasgow has 12 source-backed AI policy claim records from 8 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Citation-ready summary

As of this public record, University AI Policy Tracker lists University of Glasgow as an agent-reviewed AI policy record last checked on May 13, 2026 and last changed on May 13, 2026. The record contains 12 source-backed claims, including 12 reviewed claims, from 8 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-glasgow.json. The entity-level confidence is 96%. 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/university-of-glasgow.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Security review claims.
  • Evidence includes Research claims.
  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • Named AI services detected in public claims: Microsoft Copilot.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims12Reviewed12Candidate0Official sources8

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 confidence79%

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.

Security and procurement

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

RestrictedMachine candidateConfidence82%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

Academic Integrity

Regulation 32 states that assessed student work should not contain content produced by another person, website, software, or AI tool except where AI use is explicitly permitted.

Review: Agent reviewedConfidence96%

Normalized value: assessed_work_no_ai_generated_content_except_explicit_permission

Original evidence

Evidence 1
All work submitted by students for assessment is accepted on the understanding that it is the student's own effort. This means students' work should not contain content that has been produced by another person, website, software or Artificial intelligence (AI) tool (except where AI use is explicitly permitted).

Security Review

University of Glasgow IT guidance identifies Microsoft Copilot Chat as the only AI service approved for use with University data and says users must be logged in with UofG credentials for approved use.

Review: Agent reviewedConfidence96%

Normalized value: copilot_chat_only_ai_service_approved_for_university_data

Original evidence

Evidence 1
Microsoft Copilot Chat is a Generative AI tool that uses the same large language models as Open AI's ChatGPT, but with added security. It is the only AI service approved for use with University data.

Academic Integrity

Regulation 32 says use of websites or generative AI software that generates answers or references is prohibited, while some Schools may allow AI tools for specific purposes and any AI use must be referenced.

Review: Agent reviewedConfidence95%

Normalized value: generated_answers_references_prohibited_specific_school_exceptions_referenced

Original evidence

Evidence 1
Using any website or generative artificial intelligence (AI) software that generates answers or references is prohibited. In some Schools, AI tools may be used in some circumstances and for specific purposes, but students must not misuse AI tools outwith specific assessment instructions. Any use of AI must be referenced in the work for transparency.

Research

University of Glasgow researcher guidance states that any use of generative AI tools by staff, students, and researchers must be accompanied by critical analysis and oversight by the user.

Review: Agent reviewedConfidence95%

Normalized value: genai_research_use_requires_critical_analysis_oversight

Original evidence

Evidence 1
There is therefore one overriding principle, which applies to all staff, students, and researchers at the University: any use of generative AI tools must be accompanied by critical analysis and oversight on the part of the user.

Academic Integrity

University of Glasgow student guidance says using AI or other computational aids in university work without acknowledging the input counts as academic misconduct.

Review: Agent reviewedConfidence94%

Normalized value: ai_use_without_acknowledgement_academic_misconduct

Original evidence

Evidence 1
It is important to note that using any form of AI or other computational aids in your university coursework, study, exams, or research without acknowledging that input counts as academic misconduct.

Privacy

University of Glasgow IT guidance says confidential or sensitive information belonging to the university or a third party should not be put into AI tools.

Review: Agent reviewedConfidence94%

Normalized value: confidential_sensitive_information_not_into_ai_tools

Original evidence

Evidence 1
Confidential or sensitive information (including, for example, IP) belonging to the University or any third party should not be put into AI tools.

Research

University of Glasgow researcher guidance says AI tools used as part of research design, methods, disciplinary toolkit, or research subject should be covered by relevant ethical approval and data protection processes.

Review: Agent reviewedConfidence93%

Normalized value: research_ai_methods_subject_require_ethics_data_protection_processes

Original evidence

Evidence 1
Where AI tools form part of your research design or methods, the tool kit within your discipline, or are a subject of your research, your use of them as a researcher should be covered by relevant ethical approval and data protection processes.

Ai Tool Treatment

University of Glasgow student guidance says the university does not seek to prohibit student AI-tool use generally and instead supports effective, ethical, critical, and transparent use.

Review: Agent reviewedConfidence92%

Normalized value: student_genai_use_supported_with_ethics_transparency

Original evidence

Evidence 1
Consequently, rather than seek to prohibit your use of these tools, we want to support you in learning how to use them effectively, ethically, critically, and transparently.

Teaching

University of Glasgow staff guidance says Schools are advised by central policy to decide locally whether AI is allowed not at all, under specified circumstances, or without restriction with acknowledgement.

Review: Agent reviewedConfidence90%

Normalized value: schools_decide_local_ai_allowed_levels

Original evidence

Evidence 1
Schools are advised by central UofG policy to first decide locally on which of 3 levels of AI are allowable in their courses: not at all; under certain circumstances as outlined by the School; or without restriction (though it must always be acknowledged where used).

Privacy

University of Glasgow's PGR GenAI checklist advises PGR students to avoid uploading confidential or sensitive information, including research data and peer review content, to AI tools.

Review: Agent reviewedConfidence90%

Normalized value: pgrs_avoid_confidential_sensitive_research_peer_review_content_ai_tools

Original evidence

Evidence 1
Avoid uploading confidential or sensitive information to an AI tool (this includes research data and peer review content).

Teaching

University of Glasgow's GenAI assessment guidance is intended to explain university policy on GenAI tools in assessment practice and outlines three assessment-use scenarios.

Review: Agent reviewedConfidence89%

Normalized value: genai_assessment_guidance_three_scenarios

Original evidence

Evidence 1
The purpose of this guidance is to help you understand the University's policy on the use of Generative Artificial Intelligence (GenAI) tools in relation to assessment practice. It outlines three scenarios that detail how GenAI can be used in assessment.

Teaching

University of Glasgow assessment-design guidance says GenAI use in assessment should not always be treated as plagiarism and encourages assessment design that lets students demonstrate skills beyond knowledge recall.

Review: Agent reviewedConfidence86%

Normalized value: assessment_design_consider_genai_beyond_plagiarism

Original evidence

Evidence 1
It is important to recognise that the use of GenAI in assessment should not, in all cases, be treated as plagiarism. Rather we should carefully consider how we design assessment to ensure that students can demonstrate skills beyond purely knowledge recall.

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

8 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 13, 2026Last changedMay 13, 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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