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Change log

Imperial College London

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

Review: Agent reviewedLast checkedJun 14, 2026Last changedJun 14, 2026Claims12Sources16Latest releasepublic-release-20260614-001Release records1
University pagePublic JSONMonthly reportUniversity index

Change summary

Current public record freshness and review state.

Imperial College London currently has 12 source-backed claim records and 16 official source attributions. Latest tracked changed date: Jun 14, 2026. Latest tracker diff: 0 comparable policy-text changes, 2 newly extracted claims, 1 source snapshot changes.

This page combines all public release diffs for Imperial College London. Individual release snapshots remain available from their release-specific URLs.

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.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Diff categories

Semantic classification for this release diff.

Policy text0Newly extracted2Evidence0Source snapshots1Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

Imperial College London combined release diff

Comparing public-release-20260612-001 to public-release-20260614-001.

+8-2
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: Microsoft Copilot is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
5+Evidence (en, c6f85599726f): Microsoft Copilot is also available to all staff and students to use. It has a built-in AI assistant designed to boost productivity in apps like Word, Excel, and Teams, using your Microsoft 365 data securely.
6+Tracker checked at: 2026-06-14T18:44:00.000Z
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: dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
10+Evidence (en, a4d3df9f2fc7): dAIsy is Imperial College London’s secure AI platform, designed to give staff and students safe, easy access to multiple generative AI models (such as GPT, Claude, Deepseek, and others) through a single interface.
11+Tracker checked at: 2026-06-14T18:43:00.000Z
612 ## Source snapshot hash changed
713 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.
8-Source https://www.imperial.ac.uk/admin-services/ict/training-and-resources/daisy/ snapshot 8dc0a4bb59590569f70a2399ea34c8fbae4663a08e2149e2abd90bdbcb41c307
9-Tracker checked at: 2026-06-14T18:43:00.000Z
14+Source https://www.imperial.ac.uk/admin-services/ict/training-and-resources/daisy/ snapshot a4d3df9f2fc7ee36240c1ca4a6ad9fe96eaa86b20f5aaafb21605865bb4a98be
15+Tracker checked at: 2026-06-14T18:43:00.000Z

Release history

1 public release diff

public-release-20260614-001

Compared with public-release-20260612-001.

Policy text0Newly extracted2Source snapshots1Source text0
Release diffDiff JSON

Imperial College London public-release-20260614-001 diff

Comparing public-release-20260612-001 to public-release-20260614-001.

+8-2
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: Microsoft Copilot is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
5+Evidence (en, c6f85599726f): Microsoft Copilot is also available to all staff and students to use. It has a built-in AI assistant designed to boost productivity in apps like Word, Excel, and Teams, using your Microsoft 365 data securely.
6+Tracker checked at: 2026-06-14T18:44:00.000Z
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: dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
10+Evidence (en, a4d3df9f2fc7): dAIsy is Imperial College London’s secure AI platform, designed to give staff and students safe, easy access to multiple generative AI models (such as GPT, Claude, Deepseek, and others) through a single interface.
11+Tracker checked at: 2026-06-14T18:43:00.000Z
612 ## Source snapshot hash changed
713 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.
8-Source https://www.imperial.ac.uk/admin-services/ict/training-and-resources/daisy/ snapshot 8dc0a4bb59590569f70a2399ea34c8fbae4663a08e2149e2abd90bdbcb41c307
9-Tracker checked at: 2026-06-14T18:43:00.000Z
14+Source https://www.imperial.ac.uk/admin-services/ict/training-and-resources/daisy/ snapshot a4d3df9f2fc7ee36240c1ca4a6ad9fe96eaa86b20f5aaafb21605865bb4a98be
15+Tracker checked at: 2026-06-14T18:43:00.000Z

Claim changes

12 claim records

ai_tool_treatment

Microsoft Copilot is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

Review: Agent reviewedConfidence97%Evidence1Languagesen

ai_tool_treatment

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

Review: Agent reviewedConfidence97%Evidence1Languagesen

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.

Review: Agent reviewedConfidence90%Evidence1Languagesen

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.

Review: Agent reviewedConfidence90%Evidence1Languagesen

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.

Review: Agent reviewedConfidence85%Evidence1Languagesen

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.

Review: Agent reviewedConfidence95%Evidence1Languagesen

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.

Review: Agent reviewedConfidence95%Evidence1Languagesen

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.

Review: Agent reviewedConfidence95%Evidence1Languagesen

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.

Review: Agent reviewedConfidence95%Evidence1Languagesen

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.

Review: Agent reviewedConfidence90%Evidence1Languagesen

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.

Review: Agent reviewedConfidence90%Evidence1Languagesen

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.

Review: Agent reviewedConfidence90%Evidence1Languagesen

Source snapshots

16 source attributions