Queen Mary, University of London 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.
Students need to be clear on the type of assessment they are undertaking. AI and GenAI in assessments should be signalled by the module convenor in module handbooks and briefings.
Where AI and GenAI are not permitted, such use may amount to plagiarism, collusion, or some other form of academic misconduct, and will be considered under Queen Mary’s Academic Integrity & Misconduct Policy.
For all AI tools there should be a clear statement indicating whether use of AI and GenAI is permitted, why and how.
QMUL Regulations require all students to explicitly declare use of AI and GenAI.
If you use AI generated text, code, or images in your submission, you remain accountable for the accuracy and appropriate use of that content.
As a student, you should not use GenAI to write your assignment for you and submit it as your own work.
The use of AI and GenAI in assessments is not a single university policy because each module and programme has different learning outcomes and methods of assessment.
Module and programme teams are expected to communicate to students which kinds of use of AI and GenAI are permitted in each assessment, and which kinds are not.
Students should only use AI and GenAI if the assessment brief allows it. If there is no mention, they should seek clarification from their module convenor or supervisor.
Unauthorised use of AI and GenAI tools in assessments may constitute academic misconduct, depending on the nature of the assessment and how the tools were used.
Students need to be clear on the type of assessment they are undertaking. AI and GenAI in assessments should be signalled by the module convenor in module handbooks and briefings.
Where AI and GenAI are not permitted, such use may amount to plagiarism, collusion, or some other form of academic misconduct, and will be considered under Queen Mary’s Academic Integrity & Misconduct Policy.
For all AI tools there should be a clear statement indicating whether use of AI and GenAI is permitted, why and how.
QMUL Regulations require all students to explicitly declare use of AI and GenAI.
The use of AI and GenAI in assessments is not a single university policy because each module and programme has different learning outcomes and methods of assessment.
Assessment information and briefs should specify whether and how AI and GenAI may be used.
If AI use is not allowed, using it may be treated as academic misconduct under Queen Mary policy.
AI can be useful for brainstorming, generating ideas, explaining concepts, and giving feedback on drafts.
AI can make mistakes, invent references, and reflect bias.
You should think critically about any AI output and check it carefully.
As a student, you should not use GenAI to write your assignment for you and submit it as your own work.
If you use AI generated text, code, or images in your submission, you remain accountable for the accuracy and appropriate use of that content.
If you use AI generated text, code, or images in your submission, you remain accountable for the accuracy and appropriate use of that content.
QMUL Regulations require all students to explicitly declare use of AI and GenAI.
Students should only use AI and GenAI if the assessment brief allows it. If there is no mention, they should seek clarification from their module convenor or supervisor.
Unauthorised use of AI and GenAI tools in assessments may constitute academic misconduct, depending on the nature of the assessment and how the tools were used.
Researchers remain fully responsible for the accuracy, integrity, originality and attribution of all content in manuscripts, reports, theses and other outputs, regardless of whether AI tools have been used.
AI tools should not be listed as authors.
You should check funder, publisher, journal, disciplinary and supervisory requirements before using AI tools in writing.
Any use of AI in the preparation of written research outputs should be acknowledged where required by the relevant publisher, funder, school or supervisor.
PGRs should check local guidance from their School/Institute and supervisors on whether and how AI tools may be used in thesis writing and related academic work.
You are responsible for any text you submit, even if it was generated or edited using AI.
Do not assume that use of AI in written work is automatically permitted; requirements may vary by context.
Researchers remain fully responsible for the accuracy, integrity, originality and attribution of all content in manuscripts, reports, theses and other outputs, regardless of whether AI tools have been used.
Outputs from AI tools must be checked carefully for accuracy, bias, fabrication and appropriateness.
Researchers must not upload confidential, personal, commercially sensitive or otherwise restricted data into publicly accessible AI tools unless appropriate approvals, safeguards and legal bases are in place.
Use of AI in research must comply with data protection, confidentiality, contractual and ethical obligations.
You should consider the provenance, reliability and limitations of AI-generated outputs before using them in analysis or interpretation.
Use of AI in research must comply with data protection, confidentiality, contractual and ethical obligations.
Researchers remain fully responsible for the accuracy, integrity, originality and attribution of all content in manuscripts, reports, theses and other outputs, regardless of whether AI tools have been used.
Researchers must not upload confidential, personal, commercially sensitive or otherwise restricted data into publicly accessible AI tools unless appropriate approvals, safeguards and legal bases are in place.
Any use of AI in the preparation of written research outputs should be acknowledged where required by the relevant publisher, funder, school or supervisor.
PGRs should check local guidance from their School/Institute and supervisors on whether and how AI tools may be used in thesis writing and related academic work.
QMUL Regulations require all students to explicitly declare use of AI and GenAI.
For all AI tools there should be a clear statement indicating whether use of AI and GenAI is permitted, why and how.
Any use of AI in the preparation of written research outputs should be acknowledged where required by the relevant publisher, funder, school or supervisor.
Researchers remain fully responsible for the accuracy, integrity, originality and attribution of all content in manuscripts, reports, theses and other outputs, regardless of whether AI tools have been used.
Where AI and GenAI are not permitted, such use may amount to plagiarism, collusion, or some other form of academic misconduct, and will be considered under Queen Mary’s Academic Integrity & Misconduct Policy.
Unauthorised use of AI and GenAI tools in assessments may constitute academic misconduct, depending on the nature of the assessment and how the tools were used.
AI and GenAI in assessments should be signalled by the module convenor in module handbooks and briefings.
For all AI tools there should be a clear statement indicating whether use of AI and GenAI is permitted, why and how.
Assessment information and briefs should specify whether and how AI and GenAI may be used.
Module and programme teams are expected to communicate to students which kinds of use of AI and GenAI are permitted in each assessment, and which kinds are not.
Researchers must not upload confidential, personal, commercially sensitive or otherwise restricted data into publicly accessible AI tools unless appropriate approvals, safeguards and legal bases are in place.
Use of AI in research must comply with data protection, confidentiality, contractual and ethical obligations.
The use of AI and GenAI in assessments is not a single university policy because each module and programme has different learning outcomes and methods of assessment.
Use of AI in research must comply with data protection, confidentiality, contractual and ethical obligations.
QMUL Regulations require all students to explicitly declare use of AI and GenAI.
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.
Queen Mary, University of London has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
The university requires students to explicitly declare use of AI and generative AI in assessed work. It also expects acknowledgment of AI use in research writing where required by publishers, funders, schools, or supervisors. In both teaching and research contexts, the user remains responsible for the content even when AI assistance has been used.
Queen Mary states that unauthorized AI use in assessments may be handled as academic misconduct under its academic integrity procedures. The policy links prohibited AI use to plagiarism, collusion, or other misconduct categories, but the provided sources do not define a university-wide position on specific AI detection tools. Enforcement is therefore defined through misconduct procedures rather than a detailed detection-tool policy in the supplied texts.
The university prohibits entering confidential, personal, commercially sensitive, or otherwise restricted research data into publicly accessible AI tools unless appropriate approvals, safeguards, and legal bases are in place. This establishes a clear data protection condition on AI use, particularly in research contexts. The provided sources 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