University AI Policy Tracker
APIGitHub
Language
ENZHFRPL

London, United Kingdom

The London School of Economics and Political Science (LSE)

RankingQS World University Rankings 2026: 56UpdatedMay 12, 2026

No reviewed summary yet

Reviewed record

Reviewed claims

8 reviewed claims

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.

Review: Agent reviewedConfidence95%

Normalized value: tools_available_not_unrestricted_use

Last checked
May 12, 2026
Last changed
May 12, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
238a4d20…
Retrieved
May 12, 2026
Evidence locator
Generative AI guidance page

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.

Review: Agent reviewedConfidence95%

Normalized value: privacy_security_research_ai_tools

Last checked
May 12, 2026
Last changed
May 12, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
61a62e35…
Retrieved
May 12, 2026
Evidence locator
Legal and Data Risks; Data Privacy and Security

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.

Review: Agent reviewedConfidence94%

Normalized value: three_position_assessment_framework

Last checked
May 12, 2026
Last changed
May 12, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
b9ab0393…
Retrieved
May 12, 2026
Evidence locator
School position on the use of generative AI in assessment 2025/26

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.

Review: Agent reviewedConfidence94%

Normalized value: research_guidance_applies_staff_students

Last checked
May 12, 2026
Last changed
May 12, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
61a62e35…
Retrieved
May 12, 2026
Evidence locator
Definition and scope of research guidance

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.

Review: Agent reviewedConfidence94%

Normalized value: external_ai_restricted_data_warning

Last checked
May 12, 2026
Last changed
May 12, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
21360bfa…
Retrieved
May 12, 2026
Evidence locator
What not to do

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.

Review: Agent reviewedConfidence93%

Normalized value: observed_assessment_safeguards

Last checked
May 12, 2026
Last changed
May 12, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
19740e21…
Retrieved
May 12, 2026
Evidence locator
LSE position on generative AI in assessment 2025/26

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.

Review: Agent reviewedConfidence92%

Normalized value: claude_and_copilot_available

Last checked
May 12, 2026
Last changed
May 12, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
238a4d20…
Retrieved
May 12, 2026
Evidence locator
Current tools available to LSE staff and students

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.

Review: Agent reviewedConfidence92%

Normalized value: claude_optional_training_and_data_limits

Last checked
May 12, 2026
Last changed
May 12, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
6c73b0ef…
Retrieved
May 12, 2026
Evidence locator
Anthropic's Claude for Education guidance

Source record

Official sources

6 sources

Record information, JSON & citation
Reviewagent reviewedConfidence95%Snapshot statusNot publishedJSONPublic JSON

Citation: University AI Policy Tracker. "The London School of Economics and Political Science (LSE) AI Policy Tracker record." Last checked May 12, 2026. https://eduaipolicy.org/universities/the-london-school-of-economics-and-political-science

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

Open change log