London, United Kingdom

Imperial College London

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.

Audience

For instructors · Teaching and assessment

No reviewed instructor-specific guidance; general conclusions only.

Coursework & assignments

Conditional

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

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.
Révisé par un agent
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.
Révisé par un agent
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.

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.
Révisé par un agent
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.
Révisé par un agent
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.
Révisé par un agent
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.
Révisé par un agent
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.
Révisé par un agent
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.

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.
Révisé par un agent
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

Affirmations révisées

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.

Révision: Révisé par un agentConfiance97%

Valeur normalisée: {"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"}

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

Affichage localisé only

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

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.

Révision: Révisé par un agentConfiance97%

Valeur normalisée: {"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"}

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

Affichage localisé only

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

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.

Révision: Révisé par un agentConfiance97%

Valeur normalisée: {"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"}

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

Affichage localisé only

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

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.

Révision: Révisé par un agentConfiance97%

Valeur normalisée: {"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"}

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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.

Affichage localisé 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.

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.

Révision: Révisé par un agentConfiance95%

Preuve originale

Preuve 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.

Enseignement

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.

Révision: Révisé par un agentConfiance95%

Preuve originale

Preuve 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.

Confidentialité

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.

Révision: Révisé par un agentConfiance95%

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dAIsy uses University SSO and auditing. Logs (prompts/metadata) are retained for operational monitoring. Model providers are configured to not train on your data.

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.

Révision: Révisé par un agentConfiance95%

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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.

Enseignement

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.

Révision: Révisé par un agentConfiance90%

Preuve originale

Preuve 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.

Recherche

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.

Révision: Révisé par un agentConfiance90%

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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.

Autre

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.

Révision: Révisé par un agentConfiance90%

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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.

Autre

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.

Révision: Révisé par un agentConfiance90%

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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.

Enseignement

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.

Révision: Révisé par un agentConfiance85%

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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.

Source record

Sources officielles

15 sources

Record information, JSON & citation
Révisionagent reviewedConfiance97%Snapshot statusstrongHash de l'instantanée3641629…JSONJSON public

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.

Journal des modifications ouvert