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Imperial College London

Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.

Révision: Révisé par un agentVérifié pour la dernière fois18 juil. 2026Dernière modification18 juil. 2026Affirmations14Sources15Dernière versionpublic-release-20260715-005Enregistrements de version1
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Résumé des modifications

Actualité des dossiers publics et état d'examen actuel.

Imperial College London currently has 14 source-backed claim records and 15 official source attributions. Latest tracked changed date: 18 juil. 2026. Latest tracker diff: 0 comparable policy-text changes, 4 newly extracted claims, 1 source snapshot changes.

Cette page combine toutes les différences de publication publique pour Imperial College London. Les instantanés des versions individuelles restent disponibles via leurs URL spécifiques à la version.

This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Les affirmations récemment extraites sont des ajouts au suivi et ne sont pas nécessairement de nouvelles publications de l'université. Les changements d'instantané source montrent des variations de hachage pour la même URL source et ne constituent pas en eux-mêmes des changements de politique.

Catégories de différences

Classification sémantique pour cette différence de version.

Texte de la politique0Récemment extraits4Preuve0Instantanés source1Texte source0Source ajoutée0Source supprimée0

Différentiel de version combinée

Diffusion unifiée du suivi générée à partir de toutes les captures instantanées de version publique pour cette université.

différentiel Imperial College London combined release

Comparaison de public-release-20260714-002 avec public-release-20260715-005.

+14-2
11 # Imperial College London AI policy diff
22 ## Newly extracted tracker claim
33 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
4+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.
5+Evidence (en-GB, ca7073c79287): Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names GPT among them.
6+Tracker checked at: 2026-07-15T17:33:43.896Z
47 ## Newly extracted tracker claim
58 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
9+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.
10+Evidence (en-GB, ca7073c79287): Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names Claude among them.
11+Tracker checked at: 2026-07-15T17:34:43.896Z
612 ## Newly extracted tracker claim
713 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
14+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.
15+Evidence (en-GB, ca7073c79287): Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names DeepSeek among them.
16+Tracker checked at: 2026-07-15T17:35:43.896Z
817 ## Newly extracted tracker claim
918 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
19+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.
20+Evidence (en-GB, ca7073c79287): 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.
21+Tracker checked at: 2026-07-15T17:36:43.896Z
1022 ## Source snapshot hash changed
1123 The same source URL has a different snapshot hash. This may reflect policy text, page layout, navigation, or metadata changes; it is not by itself a policy change.
12-Source https://www.imperial.ac.uk/admin-services/ict/training-and-resources/daisy/ snapshot 8dc0a4bb59590569f70a2399ea34c8fbae4663a08e2149e2abd90bdbcb41c307
13-Tracker checked at: 2026-07-15T17:36:43.896Z
24+Source https://www.imperial.ac.uk/admin-services/ict/training-and-resources/daisy/ snapshot ca7073c79287c6a14a49a046579f0186a55d2af0fe04e85c6937cc78a759a979
25+Tracker checked at: 2026-07-15T17:36:43.896Z

Historique des versions

1 diff de publication publique

public-release-20260715-005

Comparé à public-release-20260714-002.

Texte de la politique0Récemment extraits4Instantanés source1Texte source0
Diff de versionDifférences JSON

différentiel Imperial College London public-release-20260715-005

Comparaison de public-release-20260714-002 avec public-release-20260715-005.

+14-2
11 # Imperial College London AI policy diff
22 ## Newly extracted tracker claim
33 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
4+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.
5+Evidence (en-GB, ca7073c79287): Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names GPT among them.
6+Tracker checked at: 2026-07-15T17:33:43.896Z
47 ## Newly extracted tracker claim
58 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
9+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.
10+Evidence (en-GB, ca7073c79287): Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names Claude among them.
11+Tracker checked at: 2026-07-15T17:34:43.896Z
612 ## Newly extracted tracker claim
713 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
14+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.
15+Evidence (en-GB, ca7073c79287): Imperial's official dAIsy page says staff and students can access multiple models through one interface and expressly names DeepSeek among them.
16+Tracker checked at: 2026-07-15T17:35:43.896Z
817 ## Newly extracted tracker claim
918 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
19+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.
20+Evidence (en-GB, ca7073c79287): 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.
21+Tracker checked at: 2026-07-15T17:36:43.896Z
1022 ## Source snapshot hash changed
1123 The same source URL has a different snapshot hash. This may reflect policy text, page layout, navigation, or metadata changes; it is not by itself a policy change.
12-Source https://www.imperial.ac.uk/admin-services/ict/training-and-resources/daisy/ snapshot 8dc0a4bb59590569f70a2399ea34c8fbae4663a08e2149e2abd90bdbcb41c307
13-Tracker checked at: 2026-07-15T17:36:43.896Z
24+Source https://www.imperial.ac.uk/admin-services/ict/training-and-resources/daisy/ snapshot ca7073c79287c6a14a49a046579f0186a55d2af0fe04e85c6937cc78a759a979
25+Tracker checked at: 2026-07-15T17:36:43.896Z

Modifications d'affirmations

14 Affirmation enregistrements

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%Preuve1Languesen-GB

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%Preuve1Languesen-GB

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%Preuve1Languesen-GB

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%Preuve1Languesen-GB

teaching

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%Preuve1Languesen

other

Users of Imperial's dAIsy platform must not upload third-party content they are not permitted to share. Reuse of AI outputs must comply with licensing and academic citation norms. When communicating externally, dAIsy outputs must not be presented as Imperial's position without approval.

Révision: Révisé par un agentConfiance90%Preuve1Languesen

teaching

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%Preuve1Languesen

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%Preuve1Languesen

teaching

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%Preuve1Languesen

privacy

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%Preuve1Languesen

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%Preuve1Languesen

research

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%Preuve1Languesen

other

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%Preuve1Languesen

other

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%Preuve1Languesen

Instantanés source

15 source attributions