Imperial College London AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
67%8 of 12
Varies by Course
Coursework
AI use in coursework is determined at the instructor level. Each course may have different rules about AI tools.
Required
Disclosure
Students must formally disclose and cite any AI assistance used when submitting academic work.
Active
Detection
The university has mechanisms in place to detect unauthorized AI use.
Strategy Set
Governance
A formal AI governance strategy or institutional framework has been defined.
POLICY OVERVIEW

AI Policy Summary

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.

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Teaching & Learning

U1Coursework & Assignments
Instructor DiscretionAttribution Required
  • Generative AI may only be used in coursework and written assessments when explicit permission is granted by the module guide, instructor, or module leader

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.

U2Examinations & Assessments
AI Prohibited in ExamsIntegrity Code Applies
  • Unauthorised use of AI tools in formal examinations and assessments is prohibited and treated as an assessment offence under academic misconduct rules

Using generative AI tools to complete assessments without authorization is considered an assessment offence under the Academic Misconduct Policy.

U3Learning & Study Assistance
Guidelines Issued
  • Imperial provides guidance that generative AI may be used responsibly as a study aid, such as for understanding complex concepts or brainstorming

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.

U4Code Generation & Programming
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No policy defined yet
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Research

U5Research Writing & Manuscript Preparation
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No policy defined yet
U6Research Data & Analysis
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No policy defined yet
U7Research Ethics & Integrity
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No policy defined yet
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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure Mandatory
  • Students must acknowledge and accurately declare any use of generative AI in their academic work when it has been used for an assessment

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.

U9Detection & Enforcement
Enforcement Defined
  • Unauthorised use of AI is investigated under the academic misconduct process, with dedicated procedures for suspected AI misuse in assessments

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.

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Institutional & Administrative

U10Faculty & Staff Use
Faculty Policy Defined
  • Staff are encouraged to review assessment design in light of generative AI, including reducing opportunities for misuse and incorporating AI into tasks where appropriate

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.

U11Institutional Data Protection & Approved AI Platforms
Data Protection Active
  • 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

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.

U12University AI Governance & Strategy
AI Strategy Defined
  • Imperial has established a strategic vision for integrating AI into education, focusing on AI literacy, ethics, innovation, and institutional readiness

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.

DocuMark: Responsible AI Use for Academic Integrity

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.

FREQUENTLY ASKED QUESTIONS

Common Questions About Imperial College London's AI Policies

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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