University AI Policy Tracker
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London, United Kingdom

Imperial College London

ClasificaciónQS World University Rankings 2026: 2Updated18 jul 2026

Reviewed policy snapshot

Imperial's public guidance combines university principles with department-level assessment decisions, while dAIsy access does not replace local academic or research rules.

Do

  • Verify whether ethics, DPIA, or other research approval is required.
  • Check data-governance and approval requirements before using sensitive research data.
  • Include the required tool, publisher, URL, and use description in the acknowledgement.

Don't

  • Do not use AI with sensitive research data before required approvals are in place.
  • Do not upload private or confidential research data without required approvals.
  • Do not omit the acknowledgement or assume department details are optional.

Audience

For researchers · Research and publication

Reviewed material is available for this audience.

Coursework & assignments

Conditional

Imperial departments may allow or prohibit generative AI for specific assessments, and unauthorised use may be treated as an academic offence.

Scope: Mixed scopeAssignment
Reviewed evidence & official sources

Reviewed evidence

Unless explicitly authorised, using generative AI to create assessed work may be treated as an academic offence such as contract cheating under Imperial's Plagiarism, Academic Integrity & Exam Offences regulations. Improper use of AI can be investigated under the University's Academic Misconduct procedures.
Revisado por un agente
Unless explicitly authorised, using AI to create assessed work may be treated as an offence such as contract cheating under Imperial's Plagiarism, Academic Integrity & Exam Offences regulations. Familiarise yourself with Imperial's Academic Misconduct Policy for rules on appropriate AI usage.
Individual departments at Imperial may allow or prohibit the use of generative AI for specific assessments. Local (team/department/faculty) instructions take precedence over university-wide guidance. Students should check their department's current policy on using and disclosing generative AI in academic work and follow their module leader's instructions.
Revisado por un agente
Individual departments may allow or prohibit GenAI for specific assessments; local (team/department/faculty) instructions take precedence. Always check the brief and acknowledge permitted AI use as directed.

Official sources

Exams & assessment

Insufficient public evidence

Imperial's cited guidance refers to exam-offence regulations but does not provide a specific student AI rule for every exam format.

Scope: Mixed scopeExam
Reviewed evidence & official sources

Reviewed evidence

Unless explicitly authorised, using generative AI to create assessed work may be treated as an academic offence such as contract cheating under Imperial's Plagiarism, Academic Integrity & Exam Offences regulations. Improper use of AI can be investigated under the University's Academic Misconduct procedures.
Revisado por un agente
Unless explicitly authorised, using AI to create assessed work may be treated as an offence such as contract cheating under Imperial's Plagiarism, Academic Integrity & Exam Offences regulations. Familiarise yourself with Imperial's Academic Misconduct Policy for rules on appropriate AI usage.

Official sources

Disclosure & citation

Required

Imperial asks students to include a statement acknowledging generative-AI use for all assessed work, subject to possible department additions.

Scope: Mixed scopeAssignmentExamResearch
Reviewed evidence & official sources

Reviewed evidence

Students should include a statement acknowledging their use of generative AI tools for all assessed work, specifying the tool name and version, publisher, URL, a brief description of how it was used, and confirmation that the work is their own. Further requirements such as prompts used, date of output, the output obtained, and how it was modified may also be required by individual departments.
Revisado por un agente
You should include a statement to acknowledge your use of generative AI tools for all assessed work, in accordance with guidelines from your department or course team. This statement should be written in complete sentences and include the following information: Name and version of the generative AI tool e.g. Copilot, ChatGPT-5; Publisher (name of company that provides the AI system) e.g. Microsoft, OpenAI; URL of the AI tool; Brief description (single sentence) of the way in which the tool was used; Confirmation that the work is your own.

Official sources

Privacy & sensitive data

Conditional

Imperial describes dAIsy as approved for unrestricted data in its secure infrastructure, while sensitive research may require ethics or DPIA controls.

Scope: Mixed scopeAssignmentExamResearch
Reviewed evidence & official sources

Reviewed evidence

Imperial's dAIsy AI platform uses University SSO authentication with auditing. Prompts and metadata are logged for operational monitoring, and AI model providers are configured not to train on user data. Users' prompts and responses are not used to train external AI models. dAIsy is approved for use with unrestricted data within Imperial's secure infrastructure.
Revisado por un agente
dAIsy uses University SSO and auditing. Logs (prompts/metadata) are retained for operational monitoring. Model providers are configured to not train on your data.
Research at Imperial that involves people, personal data, or sensitive topics may require ethics approval, a Data Protection Impact Assessment (DPIA), and data-governance controls before using any AI tool. Researchers must verify whether their use of AI in research requires special approval, particularly when uploading private or confidential research data.
Revisado por un agente
Research that involves people, personal data, or sensitive topics may require ethics approval, a Data Protection Impact Assessment (DPIA), and data-governance controls before using any AI tool.

Official sources

University-provided AI tools

Allowed in this scope

Imperial lists dAIsy as an officially endorsed AI service, but that access record does not replace assessment or research rules.

Scope: Mixed scopeProvision ≠ coursework permission
Reviewed evidence & official sources

Reviewed evidence

dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
Revisado por un agente
Imperial's official dAIsy page describes it as Imperial College London's secure AI platform, designed to give staff and students safe access to multiple generative AI models through one interface.

Research & publication

Conditional

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

Scope: Mixed scopeResearch
Reviewed evidence & official sources

Reviewed evidence

Research at Imperial that involves people, personal data, or sensitive topics may require ethics approval, a Data Protection Impact Assessment (DPIA), and data-governance controls before using any AI tool. Researchers must verify whether their use of AI in research requires special approval, particularly when uploading private or confidential research data.
Revisado por un agente
Research that involves people, personal data, or sensitive topics may require ethics approval, a Data Protection Impact Assessment (DPIA), and data-governance controls before using any AI tool.

Official sources

Reviewed record

Afirmaciones revisadas

14 reviewed claims

Ai Tool Treatment

GPT in dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.

Revisión: Revisado por un agenteConfianza97%

Valor normalizado: {"tool":"chatgpt","rawToolName":"GPT in dAIsy","description":"GPT model access through Imperial dAIsy.","howToObtain":"Use the Imperial dAIsy interface as staff or student.","costToUser":"Not specified; proof-of-concept phase.","availability":"allowed","endorsementType":"officially_endorsed"}

Última verificación
15 jul 2026
Último cambio
15 jul 2026

Evidencia original

Evidencia 1
Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names GPT among them.

Vista localizada only

Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names GPT among them.

Idioma de la fuente
English (en-GB)
Hash de instantánea
ca7073c7…
Recuperado
15 jul 2026

Ai Tool Treatment

Claude in dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.

Revisión: Revisado por un agenteConfianza97%

Valor normalizado: {"tool":"claude","rawToolName":"Claude in dAIsy","description":"Claude model access through Imperial dAIsy.","howToObtain":"Use the Imperial dAIsy interface as staff or student.","costToUser":"Not specified; proof-of-concept phase.","availability":"allowed","endorsementType":"officially_endorsed"}

Última verificación
15 jul 2026
Último cambio
15 jul 2026

Evidencia original

Evidencia 1
Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names Claude among them.

Vista localizada only

Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names Claude among them.

Idioma de la fuente
English (en-GB)
Hash de instantánea
ca7073c7…
Recuperado
15 jul 2026

Ai Tool Treatment

DeepSeek in dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.

Revisión: Revisado por un agenteConfianza97%

Valor normalizado: {"tool":"deepseek","rawToolName":"DeepSeek in dAIsy","description":"DeepSeek model access through Imperial dAIsy.","howToObtain":"Use the Imperial dAIsy interface as staff or student.","costToUser":"Not specified; proof-of-concept phase.","availability":"allowed","endorsementType":"officially_endorsed"}

Última verificación
15 jul 2026
Último cambio
15 jul 2026

Evidencia original

Evidencia 1
Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names DeepSeek among them.

Vista localizada only

Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names DeepSeek among them.

Idioma de la fuente
English (en-GB)
Hash de instantánea
ca7073c7…
Recuperado
15 jul 2026

Ai Tool Treatment

dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.

Revisión: Revisado por un agenteConfianza97%

Valor normalizado: {"tool":"institutional_ai_service","rawToolName":"dAIsy","description":"Imperial's secure multi-model GenAI platform.","howToObtain":"Use the Imperial dAIsy interface as staff or student.","costToUser":"Not specified; proof-of-concept phase.","availability":"allowed","endorsementType":"officially_endorsed"}

Última verificación
15 jul 2026
Último cambio
15 jul 2026

Evidencia original

Evidencia 1
Imperial's official dAIsy page describes it as Imperial College London's secure AI platform, designed to give staff and students safe access to multiple generative AI models through one interface.

Vista localizada only

Imperial's official dAIsy page describes it as Imperial College London's secure AI platform, designed to give staff and students safe access to multiple generative AI models through one interface.

Idioma de la fuente
English (en-GB)
Hash de instantánea
ca7073c7…
Recuperado
15 jul 2026

Academic Integrity

Unless explicitly authorised, using generative AI to create assessed work may be treated as an academic offence such as contract cheating under Imperial's Plagiarism, Academic Integrity & Exam Offences regulations. Improper use of AI can be investigated under the University's Academic Misconduct procedures.

Revisión: Revisado por un agenteConfianza95%
Última verificación
6 may 2026
Último cambio
6 may 2026

Evidencia original

Evidencia 1
Unless explicitly authorised, using AI to create assessed work may be treated as an offence such as contract cheating under Imperial's Plagiarism, Academic Integrity & Exam Offences regulations. Familiarise yourself with Imperial's Academic Misconduct Policy for rules on appropriate AI usage.
Idioma de la fuente
English (en)
Hash de instantánea
abae555e…
Recuperado
6 may 2026
Localizador de evidencia
Library Services - Generative AI guidance: 'Appropriate academic use of generative AI' section

Enseñanza

Individual departments at Imperial may allow or prohibit the use of generative AI for specific assessments. Local (team/department/faculty) instructions take precedence over university-wide guidance. Students should check their department's current policy on using and disclosing generative AI in academic work and follow their module leader's instructions.

Revisión: Revisado por un agenteConfianza95%
Última verificación
6 may 2026
Último cambio
6 may 2026

Evidencia original

Evidencia 1
Individual departments may allow or prohibit GenAI for specific assessments; local (team/department/faculty) instructions take precedence. Always check the brief and acknowledge permitted AI use as directed.
Idioma de la fuente
English (en)
Hash de instantánea
af724859…
Recuperado
6 may 2026
Localizador de evidencia
dAIsy Use Policy Section 5(i) - Responsible uses: Assessment-related use

Privacidad

Imperial's dAIsy AI platform uses University SSO authentication with auditing. Prompts and metadata are logged for operational monitoring, and AI model providers are configured not to train on user data. Users' prompts and responses are not used to train external AI models. dAIsy is approved for use with unrestricted data within Imperial's secure infrastructure.

Revisión: Revisado por un agenteConfianza95%
Última verificación
6 may 2026
Último cambio
6 may 2026

Evidencia original

Evidencia 1
dAIsy uses University SSO and auditing. Logs (prompts/metadata) are retained for operational monitoring. Model providers are configured to not train on your data.
Idioma de la fuente
English (en)
Hash de instantánea
af724859…
Recuperado
6 may 2026
Localizador de evidencia
dAIsy Use Policy Section 6 - Data handling, security and privacy

Academic Integrity

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.

Revisión: Revisado por un agenteConfianza95%
Última verificación
6 may 2026
Último cambio
6 may 2026

Evidencia original

Evidencia 1
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.
Idioma de la fuente
English (en)
Hash de instantánea
af724859…
Recuperado
6 may 2026
Localizador de evidencia
dAIsy Use Policy Section 13 - Compliance and sanctions

Enseñanza

Students should include a statement acknowledging their use of generative AI tools for all assessed work, specifying the tool name and version, publisher, URL, a brief description of how it was used, and confirmation that the work is their own. Further requirements such as prompts used, date of output, the output obtained, and how it was modified may also be required by individual departments.

Revisión: Revisado por un agenteConfianza90%
Última verificación
6 may 2026
Último cambio
6 may 2026

Evidencia original

Evidencia 1
You should include a statement to acknowledge your use of generative AI tools for all assessed work, in accordance with guidelines from your department or course team. This statement should be written in complete sentences and include the following information: Name and version of the generative AI tool e.g. Copilot, ChatGPT-5; Publisher (name of company that provides the AI system) e.g. Microsoft, OpenAI; URL of the AI tool; Brief description (single sentence) of the way in which the tool was used; Confirmation that the work is your own.
Idioma de la fuente
English (en)
Hash de instantánea
abae555e…
Recuperado
6 may 2026
Localizador de evidencia
Library Services - Generative AI guidance: 'Acknowledging and referencing use of generative AI tools' section

Investigación

Research at Imperial that involves people, personal data, or sensitive topics may require ethics approval, a Data Protection Impact Assessment (DPIA), and data-governance controls before using any AI tool. Researchers must verify whether their use of AI in research requires special approval, particularly when uploading private or confidential research data.

Revisión: Revisado por un agenteConfianza90%
Última verificación
6 may 2026
Último cambio
6 may 2026

Evidencia original

Evidencia 1
Research that involves people, personal data, or sensitive topics may require ethics approval, a Data Protection Impact Assessment (DPIA), and data-governance controls before using any AI tool.
Idioma de la fuente
English (en)
Hash de instantánea
af724859…
Recuperado
6 may 2026
Localizador de evidencia
dAIsy Use Policy Section 5(iii) - Responsible uses: Research use

Otro

All Imperial staff and students have access to Microsoft Copilot with Commercial Data Protection when signed in using their Imperial credentials. Microsoft Copilot has no access to organizational data in the Microsoft 365 Graph. Chat results are not saved or made available to Microsoft, and data does not pass outside the organisation.

Revisión: Revisado por un agenteConfianza90%
Última verificación
6 may 2026
Último cambio
6 may 2026

Evidencia original

Evidencia 1
All Imperial staff and students have access to Microsoft Copilot. You should ensure you sign in to use Copilot so that you are using the secure version of Microsoft Copilot with Commercial Data Protection. MS Copilot has no access to organizational data in the Microsoft 365 Graph. Your data is protected and the chat results are NOT saved or made available for Microsoft, so the data does not pass outside of the organisation.
Idioma de la fuente
English (en)
Hash de instantánea
315c865f…
Recuperado
6 may 2026
Localizador de evidencia
ICT page on Microsoft Copilot - access and data protection sections

Otro

Users of Imperial's dAIsy AI platform must always apply critical judgment to AI outputs. Generative AI can produce inaccurate or biased outputs ('hallucinate'), omit context, or reflect training-data biases. Users remain accountable for the accuracy, legality, and appropriateness of any content they submit or share through the platform.

Revisión: Revisado por un agenteConfianza90%
Última verificación
6 may 2026
Último cambio
6 may 2026

Evidencia original

Evidencia 1
Always apply critical judgement. GenAI can 'hallucinate', omit context, or reflect training-data biases. Users remain accountable for the accuracy, legality, and appropriateness of any content they submit or share.
Idioma de la fuente
English (en)
Hash de instantánea
af724859…
Recuperado
6 may 2026
Localizador de evidencia
dAIsy Use Policy Section 8 - Quality, bias and human oversight

Enseñanza

Imperial College London has established five Generative AI Principles (aligned with Imperial Values: Respect, Collaboration, Excellence, Integrity, Innovation) to provide a foundational framework for approaches to using generative AI in teaching, learning and assessment university-wide. The principles cover promoting critical use of AI, adopting a consistent ethical approach, and building a proactive research community around AI in education.

Revisión: Revisado por un agenteConfianza85%
Última verificación
6 may 2026
Último cambio
6 may 2026

Evidencia original

Evidencia 1
These principles are intended to provide a starting point for approaches to using generative AI in teaching, learning and assessment at Imperial. Imperial supports the use of the principles to frame and underpin activities university-wide as we as a community explore the use of generative AI, progress and develop policy, and establish guidelines. The principles are underpinned by Imperial's core Values. ... Promoting the critical use of generative AI in teaching, learning and assessment. Adopting a consistent ethical approach to the use of generative AI. Building a proactive research community around the use of generative AI.
Idioma de la fuente
English (en)
Hash de instantánea
8e2e6529…
Recuperado
6 may 2026
Localizador de evidencia
Generative AI Principles page - introductory and principles sections

Source record

Fuentes oficiales

15 sources

Record information, JSON & citation
Revisiónagent reviewedConfianza97%Snapshot statusstrongHash de instantáneae3641629…JSONJSON público

Citation: University AI Policy Tracker. "Imperial College London AI Policy Tracker record." Last checked July 18, 2026. https://eduaipolicy.org/universities/imperial-college-london

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

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