University of Hull has defined AI policies across 11 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 data protection and approved AI tools, AI governance strategy.
Students should use these AI platforms where appropriate and for authorised purposes only.
You should ensure that you have checked guidance from your School and module leader about the extent to which generative AI can be used in relation to your learning.
If a student submits work for academic credit where AI generated content is not expressly permitted or where they have represented another author’s work as their own, this is a form of plagiarism.
Use of generative AI to produce work submitted for academic credit is not permitted except where expressly allowed in the learning outcomes and task instructions.
If a student submits work for academic credit where AI generated content is not expressly permitted or where they have represented another author’s work as their own, this is a form of plagiarism.
Use of generative AI to produce work submitted for academic credit is not permitted except where expressly allowed in the learning outcomes and task instructions.
Generative AI can be used in different ways to support your learning. For example, you can use generative AI tools to generate ideas for your own independent research, understand difficult concepts, get instant feedback on your understanding of a subject or use it as a language support tool.
AI can provide useful support with your university work, for example:
• create practice quizzes to revise for your exams
• summarise or explain a concept or text
• suggest ways to improve your writing style or the structure of an essay
• generate ideas for a project or assignment
• create examples to help your understanding of a topic
• compare and contrast theories and concepts
• practice a language with a chatbot
• suggest approaches to solve coding errors
Students should use these AI platforms where appropriate and for authorised purposes only.
Think critically when using AI. You are responsible for checking all AI outputs for accuracy, appropriateness, bias and made up references, and to make sure they are suitable for your situation and level of study.
Avoid over-reliance. AI can be useful to support your learning but if you overuse these tools you may not fully engage with your studies, or properly understand your subject or develop your own ideas and problem-solving skills.
AI can provide useful support with your university work, for example:
• suggest approaches to solve coding errors
If a student submits work for academic credit where AI generated content is not expressly permitted or where they have represented another author’s work as their own, this is a form of plagiarism.
Use of generative AI to produce work submitted for academic credit is not permitted except where expressly allowed in the learning outcomes and task instructions.
Researchers and innovators should be transparent and acknowledge the use of AI, where it has been used in the funding application process.
The use of AI tools to prepare funding applications, or in any way other than already outlined in this section, is permitted, but only if declaration and acknowledgement of use of the AI are included and all associated risks relating to privacy, confidentiality, copyright and bias are mitigated by the user. This means all content generated by the AI is checked and validated by the user to ensure it is both factually correct and the content generated has not been plagiarised from another source.
At all times, the responsibility for the originality, veracity and integrity of the application remains with the researcher(s) and innovator(s) who have prepared the funding application, and any use of AI should be clearly declared and acknowledged in the application and be in line with publication standards and policies.
The use of AI tools to prepare funding applications, or in any way other than already outlined in this section, is permitted, but only if declaration and acknowledgement of use of the AI are included and all associated risks relating to privacy, confidentiality, copyright and bias are mitigated by the user. This means all content generated by the AI is checked and validated by the user to ensure it is both factually correct and the content generated has not been plagiarised from another source.
At all times, the responsibility for the originality, veracity and integrity of the application remains with the researcher(s) and innovator(s) who have prepared the funding application, and any use of AI should be clearly declared and acknowledged in the application and be in line with publication standards and policies.
Researchers are responsible for ensuring that all primary research data and research records are:
• accurate, complete, authentic and reliable;
• identifiable, retrievable and available when needed;
• secure and safe, with appropriate measures taken to protect confidential and other sensitive data where necessary;
• kept in a manner that is compliant with legal obligations, including the Data Protection Act 2018 and the General Data Protection Regulation (GDPR), and, where applicable, the Freedom of Information Act 2000;
• retained in accordance with any obligations relating to publication, funders and sponsors; and
• made available for access and re-use where appropriate and under appropriate safeguards, in line with open research principles and subject to any necessary restrictions.
Researchers and innovators should be transparent and acknowledge the use of AI, where it has been used in the funding application process.
The use of AI to generate content in funding applications is not permitted where the call guidance has expressly prohibited the use of AI. The use of AI in peer review is not permitted. Reviewers should not upload any part of an application into an AI tool.
The use of AI tools to prepare funding applications, or in any way other than already outlined in this section, is permitted, but only if declaration and acknowledgement of use of the AI are included and all associated risks relating to privacy, confidentiality, copyright and bias are mitigated by the user. This means all content generated by the AI is checked and validated by the user to ensure it is both factually correct and the content generated has not been plagiarised from another source.
At all times, the responsibility for the originality, veracity and integrity of the application remains with the researcher(s) and innovator(s) who have prepared the funding application, and any use of AI should be clearly declared and acknowledged in the application and be in line with publication standards and policies.
Declare any use of AI in your work. There are no standardised ways to do this and your School may have its own approach or it might be specified in your assignment brief. However, as a minimum you should make sure any use of AI generated content is appropriately referenced in line with the referencing style of your discipline.
Be transparent. Your tutors need to understand your learning and what support you may have used to complete a task.
Researchers and innovators should be transparent and acknowledge the use of AI, where it has been used in the funding application process.
The use of AI tools to prepare funding applications, or in any way other than already outlined in this section, is permitted, but only if declaration and acknowledgement of use of the AI are included and all associated risks relating to privacy, confidentiality, copyright and bias are mitigated by the user.
At all times, the responsibility for the originality, veracity and integrity of the application remains with the researcher(s) and innovator(s) who have prepared the funding application, and any use of AI should be clearly declared and acknowledged in the application and be in line with publication standards and policies.
If a student submits work for academic credit where AI generated content is not expressly permitted or where they have represented another author’s work as their own, this is a form of plagiarism.
Use of generative AI to produce work submitted for academic credit is not permitted except where expressly allowed in the learning outcomes and task instructions.
Plagiarism includes presenting the work of others as if it were one’s own without proper acknowledgement. This includes:
• copying work or buying work from another source and presenting it as if it is one’s own;
• unauthorised use of artificially generated content and presenting this as if it is one’s own;
AI generated content can often be identified by markers due to concerns over style or language or because the AI has ‘hallucinated’ or invented references or data. Instructors can use systems such as Turnitin and their own subject expertise to identify instances of plagiarism and contract cheating in student work.
Students should use these AI platforms where appropriate and for authorised purposes only.
Use University approved tools. You should only use generative AI tools that have been approved by the University and are listed on the Student AI guidance page.
Avoid entering personal information, copyrighted material or your own unpublished research into public AI tools. This could breach privacy, data protection and intellectual property rights.
The use of AI tools to prepare funding applications, or in any way other than already outlined in this section, is permitted, but only if declaration and acknowledgement of use of the AI are included and all associated risks relating to privacy, confidentiality, copyright and bias are mitigated by the user.
Researchers are responsible for ensuring that all primary research data and research records are:
• secure and safe, with appropriate measures taken to protect confidential and other sensitive data where necessary;
• kept in a manner that is compliant with legal obligations, including the Data Protection Act 2018 and the General Data Protection Regulation (GDPR), and, where applicable, the Freedom of Information Act 2000;
Use University approved tools. You should only use generative AI tools that have been approved by the University and are listed on the Student AI guidance page.
Researchers and innovators should be transparent and acknowledge the use of AI, where it has been used in the funding application process.
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 Hull has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
For student academic work, the university requires transparency about any AI use and expects students to reference AI-generated material according to the required referencing style. For research funding applications, AI use must be declared and acknowledged, with researchers remaining accountable for the submitted content.
Undisclosed or unauthorized AI-generated content in assessed work is treated as plagiarism and handled under academic misconduct procedures. The university also warns students that instructors may use systems such as Turnitin and that AI output can be detected through markers' subject expertise and concerns about style, language, or hallucinated references.
The university restricts students to university-approved AI platforms and warns them not to enter personal information, copyrighted material, or unpublished research into public tools. Research-related AI use must also mitigate privacy and confidentiality risks, and research data must be secured and handled in compliance with data protection law.
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