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Imperial College London

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Coursework

Conditional

Follow the department and assessment brief; unauthorised AI-generated assessed work may be misconduct.

Official source ↗

Exams

Not mentioned in reviewed sources

The reviewed record establishes no universal exam permission or ban. Check the particular exam instructions.

Disclosure

Recommended

Library guidance recommends acknowledgement; permitted assessed use of dAIsy requires it under the service policy.

Official source ↗

Privacy & sensitive data

Restricted

dAIsy is approved for unrestricted data. Copilot protection, logging and web-search conditions need separate checks.

Official source ↗

Approved tools

Conditional

dAIsy Basic access is for staff and students; Developer access is for approved staff, with token limits.

Official source ↗

Research & publication

Conditional

Research involving people or sensitive data may need ethics approval, a DPIA and data-governance controls.

Official source ↗
More reviewed record topics

Academic integrity

Conditional

Distinguish detection evidence, misconduct investigations and appeals; the ten-day rule has a specific procedure.

Official source ↗

Teaching guidance

Recommended

University GenAI principles guide teaching; permission still depends on the course and task.

Official source ↗

Security and procurement

Restricted

dAIsy uses SSO and audit logs within Imperial infrastructure, under institutional IT conditions.

Official source ↗

Before you submit

Do

  • Follow your department and assessment brief.
    Requirement in this scope
  • When dAIsy is permitted in assessed work, acknowledge its use.
    Requirement in this scope
  • Check dAIsy outputs for accuracy and appropriateness.
    Requirement in this scope

Don’t

  • Do not use AI to create assessed work without authorisation.
    Requirement in this scope
  • Do not upload third-party content you may not share.
    Requirement in this scope
  • Do not assume the general results-appeal deadline applies to misconduct.
    Site advice

AI use questioned?

Imperial College London

Assessment briefs and dAIsy conditions apply to their stated uses.

Investigation & response

Imperial's Academic Misconduct procedures govern the investigation of suspected misconduct, potential sanctions, and applicable appeal rights. Students challenging an Academic Misconduct Panel decision must submit an appeal within ten College working days of notification; the general academic-results appeal procedure (with a 15 working-day window) does not apply to misconduct decisions. Potential misconduct in postgraduate research programmes is dealt with under Ordinance D17; the ten-day statement does not establish a deadline for that separate procedure.

Original evidence and scope

Imperial's Academic Misconduct procedures govern the investigation of suspected misconduct, potential sanctions, and applicable appeal rights. Students challenging an Academic Misconduct Panel decision must submit an appeal within ten College working days of notification; the general academic-results appeal procedure (with a 15 working-day window) does not apply to misconduct decisions. Potential misconduct in postgraduate research programmes is dealt with under Ordinance D17; the ten-day statement does not establish a deadline for that separate procedure.

clm-imperial-college-london-academic-misconduct-appeals
To make an appeal you must submit the appeal form below to student.appeals@imperial.ac.uk within the deadline you have been given and including all documentation regarding the allegation and decision. You should also include any additional documentation that is relevant to the details of your appeal statement.

Academic misconduct procedures and appeals; captured normalized text line 00227

Official university source ↗
If the student wishes to appeal against the decision of the Academic Misconduct Panel, they must submit the appeal form (Appendix III) to student.appeals@imperial.ac.uk within ten College working days of receiving the decision of the Academic Misconduct Panel.

Academic Misconduct Policy and Procedure v1.3; PDF actual page 9, Sections 48 & 51

Official university source ↗
Potential academic misconduct in postgraduate research programmes will be dealt with under ordinance D17, The Investigation of Allegations of Research Misconduct.

Academic Misconduct Policy and Procedure v1.3; PDF actual page 2, Section 13

Official university source ↗

For the 2026–27 academic year, Imperial states that it does not use Turnitin's AI-writing detection functionality as part of its assessment processes. Academic-integrity concerns are evaluated by staff using academic judgement and evidence. This statement does not exclude authenticity interviews or other permitted investigative methods.

Original evidence and scope

For the 2026–27 academic year, Imperial states that it does not use Turnitin's AI-writing detection functionality as part of its assessment processes. Academic-integrity concerns are evaluated by staff using academic judgement and evidence. This statement does not exclude authenticity interviews or other permitted investigative methods.

clm-imperial-college-london-ai-detection-2026
We would like to reassure students that Imperial does not use Turnitin's AI writing detection tool as part of its assessment processes. Decisions relating to academic integrity are made by staff using academic judgement and evidence, and following our institution policies.

Turnitin EULA changes; captured normalized text line 00147

Official university source ↗

Possible outcomes

Breaches of Imperial's dAIsy Use Policy may lead to action under Academic Misconduct procedures for students and HR/disciplinary processes for staff, as well as under Information Security and Data Protection policies. Sanctions may include removal of access, grade penalties, or formal disciplinary measures.

Original evidence and scope

Breaches of Imperial's dAIsy Use Policy may lead to action under Academic Misconduct procedures for students and HR/disciplinary processes for staff, as well as under Information Security and Data Protection policies. Sanctions may include removal of access, grade penalties, or formal disciplinary measures.

clm-imperial-college-london-daisy-sanctions
Breaches may lead to action under Academic Misconduct (students) and HR/disciplinary processes (staff), as well as Information Security and Data Protection policies. Sanctions may include removal of access, grade penalties, or formal disciplinary measures.

Compliance and sanctions; captured normalized text line 00629 (Section 14)

Official university source ↗

Review & appeal

Imperial's Academic Misconduct procedures govern the investigation of suspected misconduct, potential sanctions, and applicable appeal rights. Students challenging an Academic Misconduct Panel decision must submit an appeal within ten College working days of notification; the general academic-results appeal procedure (with a 15 working-day window) does not apply to misconduct decisions. Potential misconduct in postgraduate research programmes is dealt with under Ordinance D17; the ten-day statement does not establish a deadline for that separate procedure.

Original evidence and scope

Imperial's Academic Misconduct procedures govern the investigation of suspected misconduct, potential sanctions, and applicable appeal rights. Students challenging an Academic Misconduct Panel decision must submit an appeal within ten College working days of notification; the general academic-results appeal procedure (with a 15 working-day window) does not apply to misconduct decisions. Potential misconduct in postgraduate research programmes is dealt with under Ordinance D17; the ten-day statement does not establish a deadline for that separate procedure.

clm-imperial-college-london-academic-misconduct-appeals
To make an appeal you must submit the appeal form below to student.appeals@imperial.ac.uk within the deadline you have been given and including all documentation regarding the allegation and decision. You should also include any additional documentation that is relevant to the details of your appeal statement.

Academic misconduct procedures and appeals; captured normalized text line 00227

Official university source ↗
If the student wishes to appeal against the decision of the Academic Misconduct Panel, they must submit the appeal form (Appendix III) to student.appeals@imperial.ac.uk within ten College working days of receiving the decision of the Academic Misconduct Panel.

Academic Misconduct Policy and Procedure v1.3; PDF actual page 9, Sections 48 & 51

Official university source ↗
Potential academic misconduct in postgraduate research programmes will be dealt with under ordinance D17, The Investigation of Allegations of Research Misconduct.

Academic Misconduct Policy and Procedure v1.3; PDF actual page 2, Section 13

Official university source ↗

AI tools & access

  • Claude in dAIsyOfficial recommendationRecorded as allowed in the source scope

    Sign in to Imperial dAIsy using Imperial institutional credentials.

  • dAIsyOfficial recommendationRecorded as allowed in the source scope

    Sign in to Imperial dAIsy with institutional credentials.

  • DeepSeek in dAIsyOfficial recommendationRecorded as allowed in the source scope

    Sign in to Imperial dAIsy using Imperial institutional credentials.

  • GPT in dAIsy (OpenAI GPT models)Official recommendationRecorded as allowed in the source scope

    Sign in to Imperial dAIsy using Imperial institutional credentials.

Record updatesLast 90 days · Recorded updates: 2

Updates to this site's reviewed record, not confirmation that the university changed its policy.

  1. Page update

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  2. Record addition · Site correction

    Academic integrity · Teaching · 4 more topics · Records involved: 17 (14 corrected / adjusted · 3 added)

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Reviewed record

Reviewed claims

17 reviewed claims

Source record

Official sources

18 sources

18 official URLs; 18 source attributions and their captured versions retained.

dAIsy - GenAI platform | Administration and support services | Imperial College London

www.imperial.ac.uk

University official source

Imperial College London

Hash and captured version

dAIsy - GenAI platform | Administration and support services | Imperial College London · 2026-10-10T21:16:49.199Z

Representation unspecified in this historical record; do not assume an original-file hash.

91e1d2fd709853d7fc4b9f1797544b57b678367116cdd1e35cf68ad01904844f

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

AI models available on dAIsy | Administration and support services | Imperial College London

www.imperial.ac.uk

University official source

Imperial College London

Hash and captured version

AI models available on dAIsy | Administration and support services | Imperial College London · 2026-10-10T21:16:50.134Z

Representation unspecified in this historical record; do not assume an original-file hash.

2a6fac07c96d9364dffcfa793d9f95d701d424648658df10dbf4455fa31c67cd

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

dAIsy Use Policy | Administration and support services | Imperial College London

www.imperial.ac.uk

University official source

Imperial College London

Hash and captured version

dAIsy Use Policy | Administration and support services | Imperial College London · 2026-10-10T21:16:50.955Z

Representation unspecified in this historical record; do not assume an original-file hash.

fa9435ce2a87a3af38f7750da801e162b01d203471b0c0f80f947f3b25bcd10c

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Generative AI guidance | Administration and support services | Imperial College London

www.imperial.ac.uk

University official source

Imperial College London

Hash and captured version

Generative AI guidance | Administration and support services | Imperial College London · 2026-10-10T21:16:51.765Z

Representation unspecified in this historical record; do not assume an original-file hash.

2e567ceca27cd46d650756418734c196a1430a01bbde3b67d5f18649363609f7

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

CfAE guidance on Generative AI | Centre for Academic English | Imperial College London

www.imperial.ac.uk

University official source

Imperial College London

Hash and captured version

CfAE guidance on Generative AI | Centre for Academic English | Imperial College London · 2026-10-10T21:16:55.628Z

Representation unspecified in this historical record; do not assume an original-file hash.

063a6b52eabaed46eb5c5d3cea1024d361ce8e7d616eafdc56088a32d97215a6

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Microsoft Copilot | Administration and support services | Imperial College London

www.imperial.ac.uk

University official source

Imperial College London

Hash and captured version

Microsoft Copilot | Administration and support services | Imperial College London · 2026-10-10T21:16:52.435Z

Representation unspecified in this historical record; do not assume an original-file hash.

bb463aeac8b767f868ee0e6d920ef619dce035d0d7180ba1f02056563b852942

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Privacy and protections in Microsoft Copilot | Microsoft Learn

learn.microsoft.com

Vendor documentation

Microsoft Corporation

Hash and captured version

Privacy and protections in Microsoft Copilot | Microsoft Learn · 2026-10-10T21:16:53.222Z

Representation unspecified in this historical record; do not assume an original-file hash.

1918a036aeb7f40e5d583d0f1493e18180cf55e790758123d04c9985722fdd8f

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Generative AI Principles | Students | Imperial College London

www.imperial.ac.uk

University official source

Imperial College London

Hash and captured version

Generative AI Principles | Students | Imperial College London · 2026-10-10T21:16:53.406Z

Representation unspecified in this historical record; do not assume an original-file hash.

a14e554cbd9a86eb5b82584e5791158067d2f54a87cb3362ef534ef67785fcc4

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Turnitin’s End User Licence Agreement changes | Administration and support services | Imperial College London

www.imperial.ac.uk

University official source

Imperial College London

Hash and captured version

Turnitin’s End User Licence Agreement changes | Administration and support services | Imperial College London · 2026-10-10T21:16:54.166Z

Representation unspecified in this historical record; do not assume an original-file hash.

773b7abbfb50395cebe39d315807a6a17a765272658188e75f40583593da3c99

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Complaints, appeals and discipline | About | Imperial College London

www.imperial.ac.uk

University official source

Imperial College London

Hash and captured version

Complaints, appeals and discipline | About | Imperial College London · 2026-10-10T21:16:54.616Z

Representation unspecified in this historical record; do not assume an original-file hash.

e510611a340b309e6d1d01cff06e68760b31ab796542689fced271ec4c34c2d7

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Academic Misconduct Policy and Procedure v1.3

www.imperial.ac.uk

University official source

Imperial College London

Hash and captured version

Academic Misconduct Policy and Procedure v1.3 · 2026-10-10T21:16:59.061Z

Representation unspecified in this historical record; do not assume an original-file hash.

0d2b6a2f9535ff4f0bcc006130577deee9e6e2d51e5e5a950a9a13dcabc4dffa

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

dAIsy Use Guidance and Process Flows

www.imperial.ac.uk

Historical source; previously recorded unavailable

imperial.ac.uk

Historical source previously recorded HTTP 404; subsequent access may also be restricted. Not evidence of current policy validity.

Hash and captured version

dAIsy Use Guidance and Process Flows · 2026-05-06T01:00:08Z

Representation unspecified in this historical record; do not assume an original-file hash.

3aeae8408592870b542839d1b36267f13b253cf812ad76914cef60acbbc88b50

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

DPA Code of Practice 08 - Use of Artificial Intelligence (AI)

www.imperial.ac.uk

University official source

imperial.ac.uk

Hash and captured version

DPA Code of Practice 08 - Use of Artificial Intelligence (AI) · 2026-05-06T01:00:08Z

Representation unspecified in this historical record; do not assume an original-file hash.

8601a0b478d76febaf8673ba6dab08156d088ecdc39948686dae963f8cb83ec6

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Generative AI & Education Guidance Hub

www.imperial.ac.uk

University official source

imperial.ac.uk

Hash and captured version

Generative AI & Education Guidance Hub · 2026-05-06T01:00:08Z

Representation unspecified in this historical record; do not assume an original-file hash.

c1b43f695f5252cc358c8c048002eff508e526c53919926aebfec81be96fba0f

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Generative AI and Study Guidance Hub

www.imperial.ac.uk

University official source

imperial.ac.uk

Hash and captured version

Generative AI and Study Guidance Hub · 2026-05-06T01:00:08Z

Representation unspecified in this historical record; do not assume an original-file hash.

f0c7617376f41a0fba19dda0cb756e12bb4791dd04f5b14f61a2be9a1d61dc8e

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

ICT Code of Practice 06 - Conditions of Use of IT Resources

www.imperial.ac.uk

University official source

imperial.ac.uk

Hash and captured version

ICT Code of Practice 06 - Conditions of Use of IT Resources · 2026-05-06T01:00:08Z

Representation unspecified in this historical record; do not assume an original-file hash.

031b49dcb6d1d4ad95452cfcc63dde8052e06e2051d39f901c121cc62dadd00c

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Plagiarism, Academic Integrity & Exam Offences

www.imperial.ac.uk

University official source

imperial.ac.uk

Hash and captured version

Plagiarism, Academic Integrity & Exam Offences · 2026-05-06T01:00:08Z

Representation unspecified in this historical record; do not assume an original-file hash.

817c92dd2088d8fd2f0d29adee3d0d6826d94ed1f247ef50002597b580474c4c

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Use of generative AI for teaching, learning and assessment

www.imperial.ac.uk

University official source

imperial.ac.uk

Hash and captured version

Use of generative AI for teaching, learning and assessment · 2026-05-06T01:00:08Z

Representation unspecified in this historical record; do not assume an original-file hash.

f0623fd99fcfa8bfcecaba8d8953cf07d1bab64b2c40b34fc9987a3a73888cf5

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗
Record information, JSON & citation
ReviewReviewedConfidence95%Snapshot statusneeds_reviewSnapshot hash6ae83606…JSONPublic JSON

Review layers: claim review applies to the claims only. Analysis is a separate machine-generated summary awaiting review. Coverage scores do not establish complete policy knowledge.

Claim review state
agent_reviewed
Analysis review state
machine_candidate
Record revision
v6-audit-fix-20261014
Dataset release
public-release-20260924-002
Correction published
Student snapshot
Pending independent agent review; not an approved snapshot
Current reviewed JSON · Historical baseline

Outdated or incorrect policy? Report an issue ↗

Citation: University AI Policy Tracker. Imperial College London AI Policy Tracker record. Record revision v6-audit-fix-20261014. Evidence checked 2026-10-11; record correction published 2026-10-14. https://eduaipolicy.org/universities/imperial-college-london

Original university source language remains canonical. This tracker is not an official university statement.

Open change log

Saved from University AI Policy Tracker. This record summarizes the cited sources; it is not an official university statement or assessment permission. Source and review dates are listed above. Hashes identify retained content, not authorization.

Questions students ask

Questions students ask

Can I use AI for my coursework?

Departments decide assessment permissions individually. Unauthorised AI use in assessed work may be treated as academic misconduct.

View evidence →
Do I need to disclose AI use?

Imperial Library recommends acknowledgment in assessed work. When dAIsy is permitted for assessed work, its Use Policy requires acknowledgment; follow the department or assessment brief for the required details.

View evidence →
Can I upload sensitive data?

dAIsy is approved for unrestricted data within Imperial infrastructure. Copilot Chat has enterprise protections and Exchange audit logging; enabled web grounding can send generated queries to the separate Bing service under different terms. Follow applicable institutional data rules.

View evidence →
Which tools can I access?

dAIsy is Imperial's institutional platform. Basic access is provided to staff and students; Developer access is restricted to approved staff. Access is subject to token quotas and does not grant assessment permission.

View evidence →
What are the examination rules?

No universal exam permission or prohibition is established by this reviewed record. Check specific exam instructions; tool access does not convey exam permission.

View evidence →
What rules apply to research and publication?

Research involving personal data, sensitive topics, or people may require ethics approval, a DPIA, and data-governance controls before AI use.

View evidence →
What counts as academic misconduct?

Imperial does not use Turnitin's AI-writing detection in assessment in 2026–27. The ten College working-day appeal deadline applies under the Academic Misconduct procedure following formal notification of the relevant decision. Postgraduate research misconduct is routed to Ordinance D17; this record does not establish its appeal deadline.

View evidence →
What guidance applies to teaching?

Imperial presents three areas of generative AI principles underpinned by five core Values. Departmental assessment permissions remain specific to the course or task.

View evidence →
What security and procurement requirements apply?

dAIsy uses SSO and audit logging within Imperial's secure infrastructure. Data handling is governed by institutional IT Conditions of Use.

View evidence →
When was this record checked?

Record checked:

Record version →
Which official sources support these rules?Official source →
Where can I read the full evidence?

17 · Full policy evidence

Full policy evidence →