Journal des modifications

The London School of Economics and Political Science (LSE)

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Résumé des modifications

Actualité des dossiers publics et état d'examen actuel.

The London School of Economics and Political Science (LSE) currently has 8 source-backed claim records and 6 official source attributions. Latest tracked changed date: 12 mai 2026. No tracker diff rows are recorded in the latest public release.

Cette page combine toutes les différences de publication publique pour The London School of Economics and Political Science (LSE). Les instantanés des versions individuelles restent disponibles via leurs URL spécifiques à la version.

Aucune ligne de différence de politique entre les versions n'est encore enregistrée pour cette université. La page suit toujours les affirmations actuelles étayées par des sources, les attributions de sources officielles, l'état d'examen, la fraîcheur des sources et les JSON publics pour la découverte et la citation.

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 extraits0Preuve0Instantanés source0Texte 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 The London School of Economics and Political Science (LSE) combined release

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+16-0
11 # The London School of Economics and Political Science (LSE) AI policy record
2+ai_tool_treatment: LSE states that making generative AI tools available does not endorse unrestricted use, and users should check their specific course, programme, or department policy.
3+Evidence (en, 238a4d20ef5a): By making generative AI tools available, LSE is not endorsing the unrestricted use of generative AI tools by students and staff. You should always check your specific course and/or department policy on the use of generative AI tools.
4+privacy: LSE research guidance tells researchers not to share personal, sensitive, or confidential data with third-party AI tools unless the tools meet LSE privacy and security standards, and it strongly encourages Microsoft Copilot for privacy and security.
5+Evidence (en, 61a62e350898): Researchers should not share personal, sensitive, or confidential data with 3rd party tools that do not provide assurances of privacy and security that are satisfactory to LSE standards. Microsoft Copilot is available for staff and student use in the LSE, supported centrally, and is fully secure and private when logged in with an LSE email in the Edge browser.
6+ai_tool_treatment: LSE requires departments or course convenors to classify authorised generative AI use in assessment as no authorised use, limited authorised use, or full authorised use, and to communicate the position to students.
7+Evidence (en, b9ab03932e41): In advance of the start of the academic year, all academic departments must agree department-wide or course-level positions on the authorised use of generative AI in assessment within one of the following positions: Position 1: No authorised use of generative AI in assessment. Position 2: Limited authorised use of generative AI in assessment. Position 3: Full authorised use of generative AI in assessment.
8+research: LSE research guidance applies to LSE staff and students undertaking research and frames generative AI as a supportive tool while keeping researchers accountable for outputs.
9+Evidence (en, 61a62e350898): This guidance applies to all LSE staff and students undertaking research. Generative AI refers to AI systems that create new content, predominantly text but also images, audio and video, based on users’ natural language prompts. It should be thought of as a supportive tool or assistant, with researchers always in the driver’s seat and accountable for what they produce.
10+privacy: LSE legal and regulatory guidance tells users not to put personal data, confidential or commercially sensitive data, or certain copyrighted content into external AI tools.
11+Evidence (en, 21360bfa51bb): Don’t put personal data in an AI tool that is external to LSE. If it will swallow the personal data for further processing that LSE cannot control, you can’t use the AI tool. Don’t upload in-copyright content where you do not have the copyright holder’s permission and where the AI tool is known to use inputs as training data. Don’t put confidential or commercially sensitive data in an AI tool that is external to LSE.
12+academic_integrity: For 2025/26, LSE requested departments to add assessment safeguards, including observed assessment methods, to help assure degree integrity and prevent unfair competitive advantage from generative AI.
13+Evidence (en, 19740e21dc7d): For 2025/26 we request that departments introduce additional safeguards to strengthen the three-position framework agreed at Education Committee in May 2024 (prohibition; limited; and full use of GenAI). This involves combining observed assessment with thoughtful integration of generative AI technologies, tailored appropriately to each discipline at the programme or course level.
14+ai_tool_treatment: LSE lists Claude for Education as available to academic staff and students and Copilot with Commercial Data Protection as available to all staff and students.
15+Evidence (en, 238a4d20ef5a): Current tools available to LSE staff and students: Claude for Education: available to academic staff and students. Copilot (Copilot with Commercial Data Protection): available to all staff and students.
16+ai_tool_treatment: LSE Claude for Education guidance says use is optional, student and staff data will not be used to train Anthropic models, and personal, operational, or confidential data must not be shared through Claude.
17+Evidence (en, 6c73b0ef91ea): Anthropic have guaranteed that LSE student and staff data will not be used to train their models. Use of Claude for Education is completely optional – there is no obligation to sign up. Personal, operational, or confidential data must not be shared via Claude, and Claude must not be integrated into operational workflows or processes.

Historique des versions

0 public release diffs

Modifications d'affirmations

8 Affirmation enregistrements

ai_tool_treatment

LSE states that making generative AI tools available does not endorse unrestricted use, and users should check their specific course, programme, or department policy.

Révision: Révisé par un agentConfiance95%Preuve1Languesen

privacy

LSE research guidance tells researchers not to share personal, sensitive, or confidential data with third-party AI tools unless the tools meet LSE privacy and security standards, and it strongly encourages Microsoft Copilot for privacy and security.

Révision: Révisé par un agentConfiance95%Preuve1Languesen

ai_tool_treatment

LSE requires departments or course convenors to classify authorised generative AI use in assessment as no authorised use, limited authorised use, or full authorised use, and to communicate the position to students.

Révision: Révisé par un agentConfiance94%Preuve1Languesen

research

LSE research guidance applies to LSE staff and students undertaking research and frames generative AI as a supportive tool while keeping researchers accountable for outputs.

Révision: Révisé par un agentConfiance94%Preuve1Languesen

privacy

LSE legal and regulatory guidance tells users not to put personal data, confidential or commercially sensitive data, or certain copyrighted content into external AI tools.

Révision: Révisé par un agentConfiance94%Preuve1Languesen

academic_integrity

For 2025/26, LSE requested departments to add assessment safeguards, including observed assessment methods, to help assure degree integrity and prevent unfair competitive advantage from generative AI.

Révision: Révisé par un agentConfiance93%Preuve1Languesen

ai_tool_treatment

LSE lists Claude for Education as available to academic staff and students and Copilot with Commercial Data Protection as available to all staff and students.

Révision: Révisé par un agentConfiance92%Preuve1Languesen

ai_tool_treatment

LSE Claude for Education guidance says use is optional, student and staff data will not be used to train Anthropic models, and personal, operational, or confidential data must not be shared through Claude.

Révision: Révisé par un agentConfiance92%Preuve1Languesen

Instantanés source

6 source attributions