Teaching & Learning
- Use of generative AI in assessed coursework is allowed only when the assignment brief permits it and within the stated limits
- Students must treat AI output carefully, because submitting AI-generated material as their own work can be treated as plagiarism or another form of academic misconduct
When you complete an assignment or assessment, make sure you understand and follow the guidance in your assignment brief. This will tell you whether and how you may use generative artificial intelligence (AI).
Submitting work and assessments generated by AI (or making unacknowledged use of it in your work) as if they are your own work, is likely to lead to a concern being raised under the academic misconduct procedures for plagiarism or other forms of misconduct.
In all cases, it is your responsibility to check and edit the output from the AI to make sure it is accurate and appropriate and that all source material has been correctly acknowledged and referenced.
- For assessments, including formal submitted work, AI use depends on the assignment or assessment guidance
- If students use AI in ways not permitted or submit AI-generated material as their own, this may trigger academic misconduct procedures
When you complete an assignment or assessment, make sure you understand and follow the guidance in your assignment brief. This will tell you whether and how you may use generative artificial intelligence (AI).
Submitting work and assessments generated by AI (or making unacknowledged use of it in your work) as if they are your own work, is likely to lead to a concern being raised under the academic misconduct procedures for plagiarism or other forms of misconduct.
- Students are also warned not to rely on AI instead of developing their own understanding and skills
- The university permits students to use generative AI as a study support tool for idea generation, explanations, revision help, planning, and feedback, but advises that outputs may be inaccurate or biased and should be checked critically
Generative AI can support your studies and be useful for tasks like:
• generating ideas
• planning and organising your work
• helping to explain difficult concepts or topics
• creating practice questions or exercises
• checking grammar, spelling, and style
• helping with revision.
Generative AI tools can sound very convincing but can produce inaccurate or misleading information and fake references or sources, and they can be biased.
Always evaluate and assess outputs critically and don’t rely on them to do the thinking for you! Use AI to support your studies, not replace your own learning and skills development.
Research
- Researchers remain responsible for checking AI-generated content and for proper acknowledgement where required
- The university states that use of generative AI in research and publication must follow external publisher and funder requirements, and AI tools cannot be listed as authors
Where AI has been used in the preparation of research outputs, staff and students must ensure compliance with relevant publisher, funder, and disciplinary guidance.
AI tools cannot be credited as authors on research publications.
Researchers remain responsible for the accuracy, integrity and originality of all submitted work, including any parts generated with AI.
Any use of AI in the preparation of research outputs should be appropriately acknowledged where required by publishers or funders.
- Research use must also comply with applicable publisher, funder, and disciplinary guidance
- The university requires caution when AI is used in research data or analysis because researchers remain accountable for the accuracy and integrity of outputs
Where AI has been used in the preparation of research outputs, staff and students must ensure compliance with relevant publisher, funder, and disciplinary guidance.
Researchers remain responsible for the accuracy, integrity and originality of all submitted work, including any parts generated with AI.
- The university also states that researchers must follow publisher, funder, and disciplinary guidance and remain personally responsible for submitted research work
- The research misconduct policy treats undisclosed or inappropriate AI use as a research integrity matter where it breaches honesty, originality, attribution, or external requirements
Research misconduct includes fabrication, falsification, plagiarism, deception in proposing, carrying out or reporting results of research, and deliberate, dangerous or negligent deviations from accepted practice in carrying out research.
Where AI has been used in the preparation of research outputs, staff and students must ensure compliance with relevant publisher, funder, and disciplinary guidance.
Researchers remain responsible for the accuracy, integrity and originality of all submitted work, including any parts generated with AI.
Academic Integrity
- For research outputs, AI use should be acknowledged when publishers or funders require it
- Disclosure and attribution are required when AI use is not original work or when source material is used
- Students must acknowledge and reference source material correctly, and unacknowledged AI use in submitted work may be treated as misconduct
Submitting work and assessments generated by AI (or making unacknowledged use of it in your work) as if they are your own work, is likely to lead to a concern being raised under the academic misconduct procedures for plagiarism or other forms of misconduct.
In all cases, it is your responsibility to check and edit the output from the AI to make sure it is accurate and appropriate and that all source material has been correctly acknowledged and referenced.
Any use of AI in the preparation of research outputs should be appropriately acknowledged where required by publishers or funders.
- The university states that suspected undisclosed AI use may be pursued under academic misconduct procedures for plagiarism or other misconduct
- The provided sources do not set out a specific institutional rule on AI detection tools, but they do make clear that enforcement proceeds through existing misconduct processes
Submitting work and assessments generated by AI (or making unacknowledged use of it in your work) as if they are your own work, is likely to lead to a concern being raised under the academic misconduct procedures for plagiarism or other forms of misconduct.
Plagiarism is passing off, or attempting to pass off, another person's ideas or words as if they were your own.
The University will treat very seriously all cases of suspected plagiarism and will investigate all allegations of plagiarism in line with the Student Disciplinary Procedure.
Institutional & Administrative
- The university also provides a structured assessment design approach through the AI Assessment Scale for staff deciding what level of student AI use is appropriate
- Staff may use generative AI in teaching and academic work, but they are expected to apply professional judgment, maintain responsibility for outputs, and follow institutional guidance
Staff should exercise professional judgement when deciding whether and how to use generative AI in teaching, assessment and feedback.
Staff remain responsible for all academic and administrative outputs produced with the assistance of AI.
The AI Assessment Scale (AIAS) is designed to support academic staff in making clear, transparent decisions about the appropriate use of generative AI in assessments.
- The university warns students and staff not to enter personal, confidential, or sensitive information into public generative AI systems
- The guidance emphasizes data protection and privacy risks, but the provided sources do not identify a single approved institutional AI platform list
Do not upload personal, sensitive, confidential or copyrighted information into generative AI tools.
Be careful about what information you share with generative AI tools. Do not enter personal data, confidential information, or anything sensitive.
You should not input confidential, personal or sensitive University information into publicly available AI tools.
- The provided sources do not set out a broader university-wide AI strategy, roadmap, or standing AI governance body beyond this guidance framework
- The university has an institutional governance approach for educational AI use through its AI Assessment Scale and linked staff guidance, which are intended to create transparent and consistent decisions about AI in assessment
The AI Assessment Scale (AIAS) is designed to support academic staff in making clear, transparent decisions about the appropriate use of generative AI in assessments.
This guidance has been developed to support staff in responding consistently and appropriately to the opportunities and risks presented by generative AI.
DocuMark: Responsible AI Use for Academic Integrity
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Common Questions About Canterbury Christ Church University's AI Policies
Canterbury Christ Church University has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
Disclosure and attribution are required when AI use is not original work or when source material is used. Students must acknowledge and reference source material correctly, and unacknowledged AI use in submitted work may be treated as misconduct. For research outputs, AI use should be acknowledged when publishers or funders require it.
The university states that suspected undisclosed AI use may be pursued under academic misconduct procedures for plagiarism or other misconduct. The provided sources do not set out a specific institutional rule on AI detection tools, but they do make clear that enforcement proceeds through existing misconduct processes.
The university warns students and staff not to enter personal, confidential, or sensitive information into public generative AI systems. The guidance emphasizes data protection and privacy risks, but the provided sources do not identify a single approved institutional AI platform list.