Coventry University has defined AI policies across 11 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.
In using generative artificial intelligence (AI), students must ensure they are acting with academic integrity in line with University policy and for each assessment check the instructions and marking criteria set by the module teaching team in order to know whether and how they can use these technologies.
Poor academic practice can involve but is not limited to... using technologies such as artificial intelligence (AI) to generate content that is presented as one's own original work when this is not permitted.
Academic misconduct can involve but is not limited to... using technologies such as artificial intelligence (AI) to generate content that is presented as one's own original work when this is not permitted, or using technologies such as translation software in a manner that is not permitted.
Students are expected to complete examinations in conditions that do not permit them to gain an unfair advantage over other students.
Students shall not bring into the examination room any unauthorised books, notes or other materials, including electronic devices capable of storing and retrieving text, or capable of communicating or connecting to the internet unless specifically authorised to do so in the assessment details.
Any allegation of cheating in an examination or test will be dealt with according to the Academic Conduct Regulations.
In using generative artificial intelligence (AI), students must ensure they are acting with academic integrity in line with University policy and for each assessment check the instructions and marking criteria set by the module teaching team in order to know whether and how they can use these technologies.
Responsibility for any material generated by AI and included in a thesis remains with the student and there should be human oversight and intervention to ensure that the material is accurate and not plagiarised.
Students may use AI-based software for proof-reading and formatting, but should be aware of data privacy concerns and understand that some software allows providers to claim rights over any uploaded content.
The following are examples of the use of AI in PGR students' theses which are not considered appropriate because they displace the intellectual work expected of PGR students. Please note that these examples are not exhaustive: the use of AI to create original text, to generate drafts of substantive parts of the thesis, or to significantly alter drafts of substantive parts of the thesis where the content generated by AI is represented as the student's own critical analysis, argument, interpretation or scholarly contribution.
The use of AI should always be acknowledged. Students should declare in their thesis where and how AI has been used if this is not obvious from the context. Such declarations should be sufficiently clear that an examiner can understand what has and has not been generated by AI.
AI tools cannot be listed as authors on a thesis or publication because they cannot take responsibility for the work.
Students should be encouraged to use AI tools with caution, ensuring they retain ownership of the ideas and arguments in their theses.
PGR students should carefully evaluate whether data can be lawfully and ethically uploaded to AI tools. Personal data, confidential information, sensitive research data, unpublished manuscripts or copyright-protected material should not be uploaded to publicly available AI systems unless there is a clear legal basis and appropriate approvals.
Students should be aware that AI systems may reproduce biases, fabricate references or facts, or provide inaccurate summaries or analyses.
Responsibility for any material generated by AI and included in a thesis remains with the student and there should be human oversight and intervention to ensure that the material is accurate and not plagiarised.
The following are examples of the use of AI in PGR students' theses which are not considered appropriate because they displace the intellectual work expected of PGR students. Please note that these examples are not exhaustive: ... the use of AI to analyse data or images where the student does not understand, verify and critically evaluate the output; ... the use of AI to fabricate data, sources or references.
These guidelines are intended to support postgraduate research (PGR) students and staff in the responsible and ethical use of Artificial Intelligence (AI) in research degrees.
PGR students and supervisory teams are expected to use AI tools in ways that are consistent with the principles of research integrity, academic honesty, transparency and accountability.
Use of AI must comply with all relevant legal and regulatory requirements including data protection law, intellectual property law, confidentiality obligations and the University's ethics processes.
The use of AI should always be acknowledged.
The following are examples of the use of AI in PGR students' theses which are not considered appropriate because they displace the intellectual work expected of PGR students. Please note that these examples are not exhaustive: ... the use of AI to fabricate data, sources or references.
The use of AI should always be acknowledged. Students should declare in their thesis where and how AI has been used if this is not obvious from the context. Such declarations should be sufficiently clear that an examiner can understand what has and has not been generated by AI.
In using generative artificial intelligence (AI), students must ensure they are acting with academic integrity in line with University policy and for each assessment check the instructions and marking criteria set by the module teaching team in order to know whether and how they can use these technologies.
Poor academic practice can involve but is not limited to... using technologies such as artificial intelligence (AI) to generate content that is presented as one's own original work when this is not permitted.
Academic misconduct can involve but is not limited to... using technologies such as artificial intelligence (AI) to generate content that is presented as one's own original work when this is not permitted, or using technologies such as translation software in a manner that is not permitted.
Any allegation of cheating in an examination or test will be dealt with according to the Academic Conduct Regulations.
These guidelines are intended to support postgraduate research (PGR) students and staff in the responsible and ethical use of Artificial Intelligence (AI) in research degrees.
PGR students and supervisory teams are expected to use AI tools in ways that are consistent with the principles of research integrity, academic honesty, transparency and accountability.
Responsibility for any material generated by AI and included in a thesis remains with the student and there should be human oversight and intervention to ensure that the material is accurate and not plagiarised.
PGR students should carefully evaluate whether data can be lawfully and ethically uploaded to AI tools. Personal data, confidential information, sensitive research data, unpublished manuscripts or copyright-protected material should not be uploaded to publicly available AI systems unless there is a clear legal basis and appropriate approvals.
Students may use AI-based software for proof-reading and formatting, but should be aware of data privacy concerns and understand that some software allows providers to claim rights over any uploaded content.
Use of AI must comply with all relevant legal and regulatory requirements including data protection law, intellectual property law, confidentiality obligations and the University's ethics processes.
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These guidelines are intended to support postgraduate research (PGR) students and staff in the responsible and ethical use of Artificial Intelligence (AI) in research degrees.
PGR students and supervisory teams are expected to use AI tools in ways that are consistent with the principles of research integrity, academic honesty, transparency and accountability.
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.
Coventry University has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
Disclosure of AI use is required in postgraduate research theses when the use is not already obvious from context. More broadly, students are directed to follow academic integrity rules and assessment instructions to determine whether and how AI can be used, but the provided taught-student sources do not give a detailed university-wide citation format for AI in coursework.
Undisclosed or unauthorised AI use may be handled under the university's academic integrity and academic conduct processes. The sources explicitly frame unpermitted AI-generated content as poor academic practice or academic misconduct, but they do not set out a specific institutional position on AI-detection software.
The university warns postgraduate researchers not to upload personal data, confidential information, sensitive research data, unpublished manuscripts, or copyrighted material to public AI systems unless there is a lawful basis and appropriate approvals. The sources emphasize privacy and legal compliance, but they do not identify 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