Policy presence
Universiti Malaya (UM) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Kuala Lumpur, Malaysia
Universiti Malaya (UM)
Universiti Malaya (UM) is listed as QS 2026 rank =58. Universiti Malaya (UM) has 6 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Universiti Malaya (UM) is listed as QS 2026 rank =58. Universiti Malaya (UM) has 6 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
Universiti Malaya (UM) has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Universiti Malaya (UM) has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Universiti Malaya (UM) has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Universiti Malaya (UM) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Universiti Malaya (UM) has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
Universiti Malaya (UM) has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Universiti Malaya (UM) has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Universiti Malaya (UM) has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
6 reviewed evidence-backed public claim
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 reviewed
Normalized value: policy_applies_to_staff_students_teaching_learning_and_research_work
Original evidence
Evidence 1The 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
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 reviewed
Normalized value: ai_support_tool_student_original_contribution_required
Original evidence
Evidence 1AI 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.
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 reviewed
Normalized value: lecturer_specified_ai_use_levels_0_to_4
Original evidence
Evidence 1Lecturers 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.
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 reviewed
Normalized value: student_ai_declaration_required_non_disclosure_may_be_misconduct
Original evidence
Evidence 1Students 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.
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 reviewed
Normalized value: no_confidential_materials_to_public_ai_without_permission
Original evidence
Evidence 1Students 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.
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 reviewed
Normalized value: ai_policy_addresses_data_privacy_and_algorithmic_bias_risks
Original evidence
Evidence 1To increase awareness of ethical risks, copyright issues, data security (including data privacy), and the potential for algorithmic bias in the use of AI.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
3 source attribution
Ethical Use of Artificial Intelligence (AI) in Teaching and Learning
spm.um.edu.my
Policy on the Use of Artificial Intelligence (AI) in Teaching and Learning
spm.um.edu.my
Universiti Malaya Academic Policy on Artificial Intelligence (AI) and Guidelines on the Ethical Use of Artificial Intelligence
ias.um.edu.my
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.