Imperial College London has defined AI policies across 8 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI use in coursework is addressed on a case-by-case basis, with policies set at the instructor level. 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. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
The use of generative AI tools in your coursework or written assessments is only permitted where the module guide or instructor explicitly states that it is allowed.
Using generative AI tools to complete assessments without authorization is considered an assessment offence under the Academic Misconduct Policy.
Generative AI can be a valuable tool to support your learning, such as helping to explain complex concepts or assisting with brainstorming, provided it is used responsibly.
If you have used generative AI to help you with your assessment, you must acknowledge how you have used it. Failure to declare the use of AI when required may be treated as academic misconduct.
This document outlines the procedure to be followed when the unauthorised use of Artificial Intelligence (AI) is suspected in an assessment, ensuring consistent handling of academic misconduct cases.
Staff are encouraged to review their assessment design in light of generative AI, considering both how to design out the opportunity for misuse and how to incorporate AI into tasks where appropriate.
DAISY is Imperial’s GenAI platform. Under the Data Protection Code of Practice for AI, staff and students must ensure that no personal or confidential data is entered into public generative AI tools.
Our Vision for Education in the Age of AI sets out Imperial's strategic approach to embedding AI literacy, ethics, and innovation within our curriculum and institutional practices.
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.
Imperial College London has defined AI policies in 8 of 12 categories, with an overall coverage score of 67%.
Students must acknowledge and accurately declare any use of generative AI in their academic work when it has been used for an assessment.
Unauthorised use of AI is investigated under the academic misconduct process, with dedicated procedures for suspected AI misuse in assessments.
Imperial provides a secure generative AI platform called DAISY, and staff and students must not enter personal or confidential data into public generative AI tools under the Data Protection Code of Practice for AI.
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