Glasgow Caledonian University AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
100%12 of 12
Permitted
Coursework
This university allows students to use AI tools in coursework, subject to course-level guidelines set by instructors.
Required
Disclosure
Students must formally disclose and cite any AI assistance used when submitting academic work.
Tools Active
Detection
The university employs AI detection software (such as Turnitin or similar tools) to identify AI-generated content in submissions.
Committee Active
Governance
The university has established a dedicated committee, task force, or working group to oversee AI governance.
POLICY OVERVIEW

AI Policy Summary

Glasgow Caledonian University has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI tools are generally permitted in coursework, subject to instructor guidelines. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.

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Teaching & Learning

U1Coursework & Assignments
AI PermittedAttribution Required
  • The university treats unacknowledged AI-generated content submitted as a student's own work as inappropriate and as a breach of the Code of Student Conduct
  • Use of AI in assessed coursework is allowed only when the specific module handbook or assessment guidance states it is appropriate and the AI use is correctly acknowledged or referenced

In practice, the appropriate use of GenAI is highly contextual and will depend on what you are studying. This could vary from module to module, so it is important that you check each of your module handbooks and assessment outlines to see whether use of AI is allowed. The inclusion of AI generated content in your assessments is only allowed if both of the following conditions are met:

1. The use of GenAI is stated as appropriate for that specific assessment in the module handbook/assessment guidance.

2. Your use of GenAI is acknowledged or referenced correctly.

If this is not clear, please speak with the teaching team to confirm what use is considered appropriate. Inappropriate use of AI is a breach of the Code of Student Conduct.

Submitting AI generated content as own work.

9.8.1 As referred to in 9.6.1 above, the inappropriate inclusion of AI generated content within assessments is considered to be a breach of this Code.

U2Examinations & Assessments
AI Allowed in AssessmentsIntegrity Code Applies
  • For assessments, AI use is only allowed where the assessment guidance specifically permits it and the use is properly acknowledged
  • The student guidance also states that using AI to generate answers for submission in quizzes and exams is not appropriate, and the Code treats inappropriate AI-generated content in assessments as misconduct

The inclusion of AI generated content in your assessments is only allowed if both of the following conditions are met:

1. The use of GenAI is stated as appropriate for that specific assessment in the module handbook/assessment guidance.

2. Your use of GenAI is acknowledged or referenced correctly.

Quizzes and Exams

Generating practice questions for self-assessment.

Using AI to generate answers for submission.

9.8.1 As referred to in 9.6.1 above, the inappropriate inclusion of AI generated content within assessments is considered to be a breach of this Code.

U3Learning & Study Assistance
AI Encouraged for Study
  • However, students are told not to rely solely or uncritically on AI, and they must maintain critical thinking and human decision making
  • The university encourages students to experiment with AI for formative learning and self-directed study, including topic exploration, discussion of ideas, project planning, and reformatting materials for personal study

Students and staff are therefore encouraged to experiment with, and learn from, the use of these tools to support active and collaborative learning as identified in the Strategy for Learning. Students may wish to use AI for formative purposes, to enhance their understanding in conjunction with traditional learning practices.

Using AI as a formative tool to augment and develop understanding from lectures.

Using AI to assist in project planning and timings.

Using an AI tool to restructure or change the format of existing learning resources to aid personal study. This can be beneficial for accessibility.

The University believes that GenAI should be viewed as a tool to augment human capabilities and enhance efficiency, rather than a replacement for professional judgement, critical thinking, and human decision making. Maintaining critical thinking and human decision making are key components when considering if student use of GenAI is appropriate.

U4Code Generation & Programming
AI Coding AllowedAttribution Required
  • Any use of AI in assessed work remains subject to module-level permission and acknowledgement requirements
  • The university permits AI for technical assistance in learning contexts, such as instructions on how to use software, but does not provide a programming-specific university-wide rule for coding assignments

Problem-based learning

Providing technical assistance, such as instructions on how to use R, Excel, PowerPoint, etc.

The inclusion of AI generated content in your assessments is only allowed if both of the following conditions are met:

1. The use of GenAI is stated as appropriate for that specific assessment in the module handbook/assessment guidance.

2. Your use of GenAI is acknowledged or referenced correctly.

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Research

U5Research Writing & Manuscript Preparation
Editing-Level Use Allowed
  • The university does not define a research-specific AI policy for drafting, editing, or preparing theses, dissertations, or manuscripts in the provided sources
  • Research-degree misconduct materials address plagiarism, ghost writing, and other academic misconduct generally, but do not set explicit AI writing rules for research outputs

not defined

U6Research Data & Analysis
Data Policy Defined
  • The university does not provide a research-specific AI policy on data collection, data analysis, synthetic data, or interpretation of results in the provided sources
  • The only explicit AI-related requirement is that any processing of personal data involving AI must follow a data protection by design approach, with a DPIA and recording in the Information Asset Register

21.2 The University will take a data protection by design approach at the outset of any processing of personal data involving AI. This can be demonstrated by undertaking a data protection impact assessment (DPIA) to ensure that any risks that arise from a specified use of Generative AI are identified and accounted for.

21.3 Uses of personal data in AI systems will be recorded in the Information Asset Register.

U7Research Ethics & Integrity
Review Board InvolvedEthics Framework Active
  • The university does not set AI-specific rules for grant proposals, IRB applications, or ethics declarations in the provided research integrity sources
  • Its stated research integrity position is general: research must meet the highest standards of honesty, rigour, and transparency, including in data gathering, analysis, interpretation, and acknowledging others' work

The University is committed to the highest standards of research integrity and good practice in all of its research activities and has committed to the UKRIO Concordat to Support Research Integrity and to adhere to the UKRIO Code of Practice for Research in the conduct of its research.

in all aspects of research, including in the presentation of research goals, intentions, and findings, in reporting on research methods and procedures, in gathering data, in using and acknowledging the work of other researchers, and in conveying valid interpretations and making justifiable claims based on research findings.

in declaring conflicts of interest, in the reporting or research data collection methods, in the analysis and interpretation of data, in making research findings widely available, which includes sharing negative results as appropriate, and in presenting the work to other researchers and the general public.

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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • Disclosure of AI use in assessments is required when AI-generated content is included
  • The university requires students to acknowledge or reference AI use correctly, and its guidance also says staff should be transparent about when and how they have used GenAI in their work

The inclusion of AI generated content in your assessments is only allowed if both of the following conditions are met:

1. The use of GenAI is stated as appropriate for that specific assessment in the module handbook/assessment guidance.

2. Your use of GenAI is acknowledged or referenced correctly.

Including AI generated content without appropriate acknowledgement and contextualisation.

Not acknowledging the use of AI as a co-creator / collaborator.

Staff should be transparent about when and how they have used GenAI in their work.

U9Detection & Enforcement
Detection Tools Used
  • The university does not currently advocate using AI-detection checking tools
  • Suspected AI misuse is handled under the Code of Student Conduct as academic misconduct, may involve a structured academic engagement to test the student's knowledge and understanding, and can be treated as either a minor or major breach depending on the extent of AI use

7.5. The University does not currently advocate the use of checking tools to detect students' use of AI and staff should follow the Code of Student Conduct where AI misuse is suspected.

9.8.2 Where there are concerns about the inappropriate use of AI, this should be investigated as academic misconduct (as opposed to via the plagiarism route) and the investigation may include a structured academic engagement (see 9.7.3 above) to test the student’s knowledge and understanding of the submitted work, and to establish the full extent of any academic misconduct.

9.8.3. On completion of the investigation:

i. If the usage of AI is considered to be minor, then this should be considered as a minor breach of the Code, and an appropriate penalty applied below (see Section 11.2 below) and form Appendix 7a should be completed and returned to the Department of Governance and Legal Services.

ii. If the usage of AI is considered to be major (i.e. the assessment is substantially generated by AI), and following consultation with the Department of Governance and Legal Services if appropriate, an allegation and supporting evidence should be forwarded by the Dean of the School, by completion of a major disciplinary breach referral form (Appendix 7b) to the Department of Governance and Legal Services for Consideration by the Senate Disciplinary Committee.

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Institutional & Administrative

U10Faculty & Staff Use
Staff Guidelines
  • The university has a staff-wide framework supporting GenAI use for business and academic purposes, while requiring responsible, ethical, and compliant use
  • Staff are expected to verify outputs for accuracy, appropriateness, and bias, be transparent about use, and comply with university policies on privacy, intellectual property, and information security

1.1. This document serves as a framework for all University staff on the responsible, ethical, and compliant use of Generative Artificial Intelligence (GenAI).

1.2. The University supports the use of GenAI for business and academic purposes, embracing the opportunities, efficiencies, and innovations it brings.

2.1.3. Responsibility: Staff are responsible for their use of GenAI tools, and the outputs generated. The use of GenAI tools must comply with all relevant guidelines and policies and respect data privacy, intellectual property rights, and information security.

2.1.4. Confidence: Staff should be transparent about when and how they have used GenAI in their work. Staff should maintain a critical perspective on the outputs generated by GenAI tools, verifying their accuracy, appropriateness, and potential for bias before using them.

U11Institutional Data Protection & Approved AI Platforms
Data Protection Active
  • The university recommends Microsoft 365 Copilot as its supported GenAI tool for staff and requires staff to log in with university credentials for stronger security
  • Public GenAI tools may only be used with publicly available data, and staff must not input university data, personal data, sensitive/confidential data, university intellectual property, or copyrighted material without permission; staff also must seek advice before using a new AI system

1.5. The University recommends and supports the use of the GenAI tool Microsoft 365 Copilot. Staff must be logged into Microsoft 365 Copilot with their University credentials to enable enhanced data security and privacy assurances.

3.2. The University recommends and supports the use of Microsoft 365 Copilot as the GenAI tool for working with any personal or business data for tasks such as answering queries, enhancing productivity, creating content, or analysing information.

3.4. Microsoft 365 Copilot must not be used for working with highly confidential data, as defined by the University's Information Classification and Handling Policy.

4.2. Publicly available GenAI tools may only be used for working with publicly available data and staff must adhere to all University policies regarding data protection, intellectual property, and copyright.

5.3. Do not input University data, personal data, or sensitive/confidential data into publicly available GenAI tools.

6.1. Do not input University intellectual property into publicly available GenAI tools.

21.4 All Colleagues must seek advice from Procurement, Information Services and Data Protection prior to using a new AI system. Colleagues should not sign up to free trials without seeking advice.

U12University AI Governance & Strategy
Governance Body Active
  • The staff guidance was approved by the Information Governance Committee and Senate, and the university says further guidance for learning, teaching, and research will be developed
  • The university has an institutional framework for responsible GenAI use by staff and states that its position will be guided by core values including integrity, creativity, responsibility, and confidence

Approved By Information Governance Committee (06/05/2025)

Senate (04/06/2025)

1.1. This document serves as a framework for all University staff on the responsible, ethical, and compliant use of Generative Artificial Intelligence (GenAI).

1.4. The primary goal of this framework is to foster a positive and informed environment for engaging with this technology, ensuring that the adoption of GenAI aligns with the core values and legal obligations of GCU.

Recognising the opportunities and challenges that developments in GenAI present, GCU’s position on the use of GenAI will be guided by our core values:

2.1.1. Integrity:

2.1.2. Creativity:

2.1.3. Responsibility:

2.1.4. Confidence:

1.6. Further guidance supporting the practical use of GenAI in both learning and teaching, and research will be developed and made available in the coming months.

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Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai