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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.

Semakan: Disemak oleh ejenTerakhir diperiksa12 Mei 2026Terkini diubah12 Mei 2026Tuntutan6Sumber3Rekod keluaran0

Halaman universiti JSON awam Laporan bulanan Indeks universiti

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

Halaman ini menggabungkan semua perbezaan pelepasan awam untuk Universiti Malaya (UM). Snapshot pelepasan individu kekal boleh diakses dari URL khusus pelepasan mereka.

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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.

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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.

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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.

Semakan: Disemak oleh ejenKeyakinan88%Bukti1Bahasaen

privacy

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