Policy presence
University of Glasgow has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Glasgow, United Kingdom
University of Glasgow
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
University of Glasgow has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
University of Glasgow has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Glasgow has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Glasgow has 5 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Glasgow has 4 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
University of Glasgow has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University of Glasgow has 4 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Glasgow has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Glasgow has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
University of Glasgow has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
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 reviewed
Normalized value: assessed_work_no_ai_generated_content_except_explicit_permission
Original evidence
Evidence 1All 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 reviewed
Normalized value: copilot_chat_only_ai_service_approved_for_university_data
Original evidence
Evidence 1Microsoft 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 reviewed
Normalized value: generated_answers_references_prohibited_specific_school_exceptions_referenced
Original evidence
Evidence 1Using 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 reviewed
Normalized value: genai_research_use_requires_critical_analysis_oversight
Original evidence
Evidence 1There 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 reviewed
Normalized value: ai_use_without_acknowledgement_academic_misconduct
Original evidence
Evidence 1It 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 reviewed
Normalized value: confidential_sensitive_information_not_into_ai_tools
Original evidence
Evidence 1Confidential 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 reviewed
Normalized value: research_ai_methods_subject_require_ethics_data_protection_processes
Original evidence
Evidence 1Where 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 reviewed
Normalized value: student_genai_use_supported_with_ethics_transparency
Original evidence
Evidence 1Consequently, 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 reviewed
Normalized value: schools_decide_local_ai_allowed_levels
Original evidence
Evidence 1Schools 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 reviewed
Normalized value: pgrs_avoid_confidential_sensitive_research_peer_review_content_ai_tools
Original evidence
Evidence 1Avoid 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 reviewed
Normalized value: genai_assessment_guidance_three_scenarios
Original evidence
Evidence 1The 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 reviewed
Normalized value: assessment_design_consider_genai_beyond_plagiarism
Original evidence
Evidence 1It 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
Official sources
8 source attribution
Artificial Intelligence - Info for Staff
gla.ac.uk
GenAI for PGRs Checklist
gla.ac.uk
Generative AI Guidance for Researchers - University of Glasgow
gla.ac.uk
How can I adapt assessment to deal with GenAI?
gla.ac.uk
Learning & Teaching - GenAI Guidance - University of Glasgow
gla.ac.uk
MyGlasgow - IT - 365 - Copilot - guidance
gla.ac.uk
Plagiarism & Academic Integrity Code
gla.ac.uk
University of Glasgow - Artificial Intelligence - Info for Students
gla.ac.uk