University of Bedfordshire has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. 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.
Your tutor may have differing views on use of AI in assignments, but they should make this explicit.
Can I use AI in all my university work?
No. Your tutor will make clear when use of AI is and is not permitted and to what extent. It will not be permitted in every assignment. This will depend on how the assignment is designed and what its learning outcomes are.
A range of scenarios may apply to use of AI in assignment completion, for example:
• AI may be prohibited entirely in some assignments
• AI may be allowed in a partial and limited way, for specific defined tasks as set by the tutor
• AI may be integrated into assignment completion, where using the AI tool appropriately may be a component of the assessment
You need to check for guidance in your assignment brief on using AI. If you are unsure, ask your tutor or Unit Coordinator.
If you are allowed to use AI, you should acknowledge this, following the guidance from the University.
Students should be aware that AI can make mistakes, and students are ultimately accountable for the work they submit.
Using AI in university assessments without permission or proper acknowledgement may be considered academic misconduct.
No. Your tutor will make clear when use of AI is and is not permitted and to what extent. It will not be permitted in every assignment. This will depend on how the assessment is designed and what its learning outcomes are.
Using AI in university assessments without permission or proper acknowledgement may be considered academic misconduct.
Academic misconduct includes any action or attempted action that may result in creating an unfair advantage in assessment or in obtaining an advantage or disadvantage for any other member of the academic community.
AI tools can support your learning, but they should be used carefully and critically.
Ways AI can support your learning include:
• brainstorming ideas for assignments
• generating practice questions or quizzes
• summarising key concepts or readings
• explaining difficult topics in simpler language
• giving feedback on structure, clarity or grammar in draft writing
• helping you reflect on your own understanding.
Students should be aware that AI can make mistakes, and students are ultimately accountable for the work they submit.
These tools can be useful in helping you to think, plan and reflect, but they are not a substitute for your own learning, understanding or judgment.
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Researchers and postgraduate students using generative AI tools in writing or drafting must disclose this use where appropriate and ensure compliance with publisher, funder and University expectations.
Generative AI tools must not be listed as authors on research outputs.
Researchers are responsible for verifying the accuracy, validity and originality of all content, including content generated or edited using AI tools.
Researchers should not input confidential, sensitive or personal data into generative AI tools unless explicitly approved and compliant with data protection requirements.
Researchers should not input confidential, sensitive or personal data into generative AI tools unless explicitly approved and compliant with data protection requirements.
Researchers are responsible for verifying the accuracy, validity and originality of all content, including content generated or edited using AI tools.
The use of AI in research must be consistent with the principles of research integrity, transparency, accountability and ethical practice.
The use of AI in research must be consistent with the principles of research integrity, transparency, accountability and ethical practice.
Researchers and postgraduate students using generative AI tools in writing or drafting must disclose this use where appropriate and ensure compliance with publisher, funder and University expectations.
Generative AI tools must not be listed as authors on research outputs.
If you are allowed to use AI, you should acknowledge this, following the guidance from the University.
You must include an acknowledgement if you have used AI in an assignment where this is permitted.
Suggested acknowledgement:
I acknowledge the use of [name of AI tool] to [describe what it was used for, e.g. generate initial ideas, improve structure, check grammar]. I have reviewed and edited the output and take full responsibility for the final submission.
Using AI in university assessments without permission or proper acknowledgement may be considered academic misconduct.
Using AI in university assessments without permission or proper acknowledgement may be considered academic misconduct.
Academic misconduct includes any action or attempted action that may result in creating an unfair advantage in assessment or in obtaining an advantage or disadvantage for any other member of the academic community.
An academic offence is a type of academic misconduct where there is sufficient evidence to support a reasonable belief that academic misconduct has occurred.
Your tutor may have differing views on use of AI in assignments, but they should make this explicit.
Your tutor will make clear when use of AI is and is not permitted and to what extent.
A range of scenarios may apply to use of AI in assignment completion, for example:
• AI may be prohibited entirely in some assignments
• AI may be allowed in a partial and limited way, for specific defined tasks as set by the tutor
• AI may be integrated into assignment completion, where using the AI tool appropriately may be a component of the assessment
Researchers should not input confidential, sensitive or personal data into generative AI tools unless explicitly approved and compliant with data protection requirements.
The use of AI in research must be consistent with the principles of research integrity, transparency, accountability and ethical practice.
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.
University of Bedfordshire has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
When AI use is permitted in assessed work, students are required to acknowledge it following university guidance. The university provides a specific declaration template and expects students to explain how AI was used; undisclosed AI use in assessments may be treated as misconduct.
The university treats unauthorized or unacknowledged AI use as a potential academic misconduct issue and handles it through its academic integrity procedures. The sources define academic misconduct broadly as conduct that creates an unfair advantage, but they do not set out a specific institutional position on AI detection tools in the provided materials.
The university explicitly restricts researchers from entering confidential, sensitive, or personal data into generative AI tools unless this is expressly approved and compliant with data protection rules. Beyond that research-specific restriction, the provided sources do not define a university-wide list of approved AI platforms.
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