University AI Policy Tracker

Registros abiertos y basados en evidencia sobre politicas universitarias de IA.

APIGitHub
Idioma
ENZHFRPL

Change log

University of East London

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

Review: Agent reviewedLast checkedMay 23, 2026Last changedMay 23, 2026Claims4Sources2Latest releasepublic-release-20260526-003Release records1
University pagePublic JSONMonthly reportUniversity index

Change summary

Current public record freshness and review state.

University of East London currently has 4 source-backed claim records and 2 official source attributions. Latest tracked changed date: May 23, 2026. Latest tracker diff: 0 comparable policy-text changes, 4 newly extracted claims, 0 source snapshot changes.

This page combines all public release diffs for University of East 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 extracted4Evidence0Source snapshots0Source text0Source added2Source removed0

Combined release diff

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

University of East London combined release diff

Comparing public-release-20260526-001 to public-release-20260526-003.

+16-0
11 # University of East London AI policy diff
22 ## Source attribution added
33 An official source attribution was added to the tracker record.
4+Source https://www.uel.ac.uk/about/governance/general-policies/generative-artificial-intelligence-usage-policy snapshot 3f445bb16721b1abed489e3547b71c0d6fb45c5b9a3c0b88e6f9a55e5d5bc108
5+Tracker checked at: 2026-05-23T14:46:00.000Z
46 ## Source attribution added
57 An official source attribution was added to the tracker record.
8+Source https://www.uel.ac.uk/about/governance/manual-general-regulations/academic-integrity-academic-misconduct snapshot 1becfca5271f6e6f0e02cc957bf5b02ffa74c6369bd94ace2f9de0295a1edcfc
9+Tracker checked at: 2026-05-23T14:46:00.000Z
610 ## Newly extracted tracker claim
711 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
12+security_review: UEL's GenAI usage policy says AI systems must prioritize user safety and ethical standards, provide clear documentation, and implement robust security protocols, while human checks should monitor impactful AI decisions.
13+Evidence (en, 3f445bb16721): AI systems must be designed and implemented in ways that prioritise user safety and ethical standards. Clear documentation must be provided to ensure transparent and explainable AI. Robust security protocols must be implemented to protect AI systems from malicious attacks and unauthorised access.
14+Tracker checked at: 2026-05-23T14:46:00.000Z
815 ## Newly extracted tracker claim
916 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
17+academic_integrity: UEL's academic misconduct rules define Generative AI misuse as using tools such as ChatGPT, Bing Chat, or DALL-E to gain an unfair advantage by producing content submitted as the student's own original work.
18+Evidence (en, 1becfca5271f): Generative AI: The use of generative artificial Intelligence tools to gain an unfair advantage. Such as ChatGPT, Bing Char or DALL-E to produce content that is then submitted as your own original work.
19+Tracker checked at: 2026-05-23T14:46:00.000Z
1020 ## Newly extracted tracker claim
1121 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
22+ai_tool_treatment: The University of East London's Generative Artificial Intelligence Usage Policy applies to staff, students, third-party suppliers, partners, and affiliates who develop, deploy, or use GenAI technologies.
23+Evidence (en, 3f445bb16721): Scope: The policy applies to all staff, students, third-party suppliers, partners, and affiliates of UEL who engage in the development, deployment, or use of Gen AI technologies.
24+Tracker checked at: 2026-05-23T14:46:00.000Z
1225 ## Newly extracted tracker claim
1326 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
27+ai_tool_treatment: UEL's GenAI usage policy frames responsible use around transparency, ethical considerations, responsible data usage, and compliance with legal and regulatory requirements.
28+Evidence (en, 3f445bb16721): This policy provides a framework for the responsible and ethical use of Generative AI (Gen AI) at the University of East London (UEL). It emphasises transparency, ethical considerations, responsible data usage, and compliance with legal and regulatory requirements.
29+Tracker checked at: 2026-05-23T14:46:00.000Z

Release history

1 public release diff

public-release-20260526-003

Compared with public-release-20260526-001.

Policy text0Newly extracted4Source snapshots0Source text0
Release diffDiff JSON

University of East London public-release-20260526-003 diff

Comparing public-release-20260526-001 to public-release-20260526-003.

+16-0
11 # University of East London AI policy diff
22 ## Source attribution added
33 An official source attribution was added to the tracker record.
4+Source https://www.uel.ac.uk/about/governance/general-policies/generative-artificial-intelligence-usage-policy snapshot 3f445bb16721b1abed489e3547b71c0d6fb45c5b9a3c0b88e6f9a55e5d5bc108
5+Tracker checked at: 2026-05-23T14:46:00.000Z
46 ## Source attribution added
57 An official source attribution was added to the tracker record.
8+Source https://www.uel.ac.uk/about/governance/manual-general-regulations/academic-integrity-academic-misconduct snapshot 1becfca5271f6e6f0e02cc957bf5b02ffa74c6369bd94ace2f9de0295a1edcfc
9+Tracker checked at: 2026-05-23T14:46:00.000Z
610 ## Newly extracted tracker claim
711 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
12+security_review: UEL's GenAI usage policy says AI systems must prioritize user safety and ethical standards, provide clear documentation, and implement robust security protocols, while human checks should monitor impactful AI decisions.
13+Evidence (en, 3f445bb16721): AI systems must be designed and implemented in ways that prioritise user safety and ethical standards. Clear documentation must be provided to ensure transparent and explainable AI. Robust security protocols must be implemented to protect AI systems from malicious attacks and unauthorised access.
14+Tracker checked at: 2026-05-23T14:46:00.000Z
815 ## Newly extracted tracker claim
916 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
17+academic_integrity: UEL's academic misconduct rules define Generative AI misuse as using tools such as ChatGPT, Bing Chat, or DALL-E to gain an unfair advantage by producing content submitted as the student's own original work.
18+Evidence (en, 1becfca5271f): Generative AI: The use of generative artificial Intelligence tools to gain an unfair advantage. Such as ChatGPT, Bing Char or DALL-E to produce content that is then submitted as your own original work.
19+Tracker checked at: 2026-05-23T14:46:00.000Z
1020 ## Newly extracted tracker claim
1121 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
22+ai_tool_treatment: The University of East London's Generative Artificial Intelligence Usage Policy applies to staff, students, third-party suppliers, partners, and affiliates who develop, deploy, or use GenAI technologies.
23+Evidence (en, 3f445bb16721): Scope: The policy applies to all staff, students, third-party suppliers, partners, and affiliates of UEL who engage in the development, deployment, or use of Gen AI technologies.
24+Tracker checked at: 2026-05-23T14:46:00.000Z
1225 ## Newly extracted tracker claim
1326 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
27+ai_tool_treatment: UEL's GenAI usage policy frames responsible use around transparency, ethical considerations, responsible data usage, and compliance with legal and regulatory requirements.
28+Evidence (en, 3f445bb16721): This policy provides a framework for the responsible and ethical use of Generative AI (Gen AI) at the University of East London (UEL). It emphasises transparency, ethical considerations, responsible data usage, and compliance with legal and regulatory requirements.
29+Tracker checked at: 2026-05-23T14:46:00.000Z

Claim changes

4 claim records

ai_tool_treatment

The University of East London's Generative Artificial Intelligence Usage Policy applies to staff, students, third-party suppliers, partners, and affiliates who develop, deploy, or use GenAI technologies.

Review: Agent reviewedConfidence96%Evidence1Languagesen

ai_tool_treatment

UEL's GenAI usage policy frames responsible use around transparency, ethical considerations, responsible data usage, and compliance with legal and regulatory requirements.

Review: Agent reviewedConfidence94%Evidence1Languagesen

academic_integrity

UEL's academic misconduct rules define Generative AI misuse as using tools such as ChatGPT, Bing Chat, or DALL-E to gain an unfair advantage by producing content submitted as the student's own original work.

Review: Agent reviewedConfidence93%Evidence1Languagesen

security_review

UEL's GenAI usage policy says AI systems must prioritize user safety and ethical standards, provide clear documentation, and implement robust security protocols, while human checks should monitor impactful AI decisions.

Review: Agent reviewedConfidence91%Evidence1Languagesen

Source snapshots

2 source attributions