Change log

Universiti Malaya (UM)

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.

Universiti Malaya (UM) currently has 6 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 12, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for Universiti Malaya (UM). 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.

Universiti Malaya (UM) combined release diff

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

+12-0
11 # Universiti Malaya (UM) AI policy record
2+teaching: Universiti Malaya's AI policy applies to academic staff and students across teaching and learning activities, including coursework, research projects, dissertations, final-year projects, theses, and online or blended learning activities.
3+Evidence (en, b25698e162e4): The policy applies to all academic staff and students at Universiti Malaya across all modes of teaching and learning, including: Coursework and assignments Research projects and dissertations Final year projects and theses Online or blended learning activities
4+academic_integrity: Universiti Malaya student guidance frames AI as a learning support tool and says students remain responsible for ensuring submitted work reflects their own understanding and intellectual contribution.
5+Evidence (en, f601f6ad12a9): AI should support learning rather than replace a student’s own thinking or analysis. Students remain responsible for ensuring that all submitted work reflects their own understanding and intellectual contribution.
6+teaching: Universiti Malaya guidance says lecturers specify the permitted level of AI use for each assignment or assessment, using levels from no AI use through integrated AI use.
7+Evidence (en, f601f6ad12a9): Lecturers will specify the level of AI use permitted for each assignment or assessment. These may include: Level 0 – No AI use: AI tools are not permitted. Level 1 – Minimal use: Basic tools such as grammar or spelling checkers may be allowed. Level 2 – Limited use: AI may assist with idea generation or concept clarification. Level 3 – Open use: AI may support learning and content development with proper declaration. Level 4 – Integrated use: AI may be required as part of the assessment activity.
8+academic_integrity: Universiti Malaya guidance requires students to declare AI tools used in assignments or assessments and says failure to disclose AI use may be considered academic misconduct.
9+Evidence (en, f601f6ad12a9): Students are required to: Declare any AI tools used in their assignments or assessments Explain how the AI tool was used (e.g., brainstorming, summarising, or analysis) Provide logs or evidence of AI usage if requested by the lecturer Failure to disclose AI use may be considered academic misconduct.
10+privacy: Universiti Malaya guidance warns students not to upload confidential academic materials, research data, or university documents to public AI platforms without permission.
11+Evidence (en, b25698e162e4): Students should be cautious when using public AI platforms such as generative AI tools. Information submitted to these platforms may not remain confidential. Students must not upload confidential academic materials, research data, or university documents to public AI platforms without permission from their lecturer or supervisor.
12+privacy: Universiti Malaya's AI policy includes increasing awareness of ethical risks, copyright issues, data security including data privacy, and algorithmic bias in AI use.
13+Evidence (en, fa1acc518625): To increase awareness of ethical risks, copyright issues, data security (including data privacy), and the potential for algorithmic bias in the use of AI.

Release history

0 public release diffs

Claim changes

6 claim records

privacy

Universiti Malaya's AI policy includes increasing awareness of ethical risks, copyright issues, data security including data privacy, and algorithmic bias in AI use.

Review: Agent reviewedConfidence88%Evidence1Languagesen

privacy

Universiti Malaya guidance warns students not to upload confidential academic materials, research data, or university documents to public AI platforms without permission.

Review: Agent reviewedConfidence90%Evidence1Languagesen

academic_integrity

Universiti Malaya guidance requires students to declare AI tools used in assignments or assessments and says failure to disclose AI use may be considered academic misconduct.

Review: Agent reviewedConfidence90%Evidence1Languagesen

teaching

Universiti Malaya guidance says lecturers specify the permitted level of AI use for each assignment or assessment, using levels from no AI use through integrated AI use.

Review: Agent reviewedConfidence90%Evidence1Languagesen

academic_integrity

Universiti Malaya student guidance frames AI as a learning support tool and says students remain responsible for ensuring submitted work reflects their own understanding and intellectual contribution.

Review: Agent reviewedConfidence90%Evidence1Languagesen

teaching

Universiti Malaya's AI policy applies to academic staff and students across teaching and learning activities, including coursework, research projects, dissertations, final-year projects, theses, and online or blended learning activities.

Review: Agent reviewedConfidence90%Evidence1Languagesen

Source snapshots

3 source attributions