Change log

City St George’s, University of London

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.

Change summary

Current public record freshness and review state.

City St George’s, University of London currently has 3 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 16, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for City St George’s, University of London. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and 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.

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 extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

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

City St George’s, University of London combined release diff

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

+6-0
11 # City St George’s, University of London AI policy record
2+academic_integrity: City St George's tells students that using generative AI to gain an unfair advantage by misrepresenting its work as their own is academic misconduct.
3+Evidence (en, 07281ac8ab11): Using Generative AI to gain an unfair advantage by misrepresenting its work as your own is Academic Misconduct and can have serious consequences.
4+ai_tool_treatment: City St George's states that, for assessment, its default position is that students must not use generative AI tools unless instructed to do so by a module tutor or programme director.
5+Evidence (en, 7c1548317407): When it comes to using AI as part of an assessment, the University’s default position is that you must not use generative AI tools for assessment, unless you have been instructed to do so by your module tutor or programme director.
6+privacy: City St George's provides Microsoft Copilot Chat free for students and recommends logging in with University credentials for data security, while warning students not to enter personal, sensitive, confidential, or copyrighted material into generative AI tools.
7+Evidence (en, 7c1548317407): City St George’s provides Microsoft Copilot Chat free for all students and you are recommended to use this tool: ... Ensure you log in with your University credentials to keep your data secure. ... you should not enter personal, sensitive or confidential information nor submit copyrighted materials into the tool.

Release history

0 public release diffs

Claim changes

3 claim records

privacy

City St George's provides Microsoft Copilot Chat free for students and recommends logging in with University credentials for data security, while warning students not to enter personal, sensitive, confidential, or copyrighted material into generative AI tools.

Review: Agent reviewedConfidence89%Evidence1Languagesen

academic_integrity

City St George's tells students that using generative AI to gain an unfair advantage by misrepresenting its work as their own is academic misconduct.

Review: Agent reviewedConfidence94%Evidence1Languagesen

ai_tool_treatment

City St George's states that, for assessment, its default position is that students must not use generative AI tools unless instructed to do so by a module tutor or programme director.

Review: Agent reviewedConfidence93%Evidence1Languagesen

Source snapshots

3 source attributions