Kuala Lumpur, Malaysia

Universiti Malaya (UM)

Last checkedMay 12, 2026Last changedMay 12, 2026Review: Agent reviewedConfidence90%

Public JSON Change log Monthly report Citation rules Dataset access Analysis JSON Submit correction

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage6 reviewedEvidence-backed claims6Reviewed6Candidate0Official sources3Source languageenPublic JSON/api/public/v1/universities/universiti-malaya.json

Coverage score90/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence76%

Policy presence

Universiti Malaya (UM) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence77%Evidence5Sources2

Claim claim-um-ai-declaration-misconduct Claim claim-um-ai-learning-support-originality Claim claim-um-ai-permitted-levels

AI disclosure

Universiti Malaya (UM) has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence2Sources2

Claim claim-um-ai-declaration-misconduct Claim claim-um-ai-public-platform-confidentiality

Coursework

Universiti Malaya (UM) has 4 source-backed public claims for coursework; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence4Sources2

Claim claim-um-ai-declaration-misconduct Claim claim-um-ai-learning-support-originality Claim claim-um-ai-permitted-levels

Exams

Universiti Malaya (UM) has 4 source-backed public claims for exams; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence4Sources2

Claim claim-um-ai-declaration-misconduct Claim claim-um-ai-learning-support-originality Claim claim-um-ai-permitted-levels

Privacy and data entry

Universiti Malaya (UM) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence76%Evidence2Sources2

Claim claim-um-ai-public-platform-confidentiality Claim claim-um-ai-data-privacy-risk-awareness

Academic integrity

Universiti Malaya (UM) has 2 source-backed public claims for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence2Sources1

Claim claim-um-ai-declaration-misconduct Claim claim-um-ai-learning-support-originality

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

Universiti Malaya (UM) has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence76%Evidence2Sources2

Claim claim-um-ai-public-platform-confidentiality Claim claim-um-ai-data-privacy-risk-awareness

Teaching guidance

Universiti Malaya (UM) has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence2Sources2

Claim claim-um-ai-permitted-levels Claim claim-um-ai-policy-scope

Research guidance

Universiti Malaya (UM) has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence77%Evidence2Sources1

Claim claim-um-ai-policy-scope Claim claim-um-ai-public-platform-confidentiality

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

6 reviewed evidence-backed public claim

Normalized value: policy_applies_to_staff_students_teaching_learning_and_research_work

Last checked: May 12, 2026
Last changed: May 12, 2026

Original evidence

Evidence 1

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
Source: Policy on the Use of Artificial Intelligence (AI) in Teaching and Learning

Source language: English (en)
Snapshot hash: b25698e162e477192bed50f2c30759844718e30b5c690354f50d64032cde5281
Retrieved: May 12, 2026
Evidence locator: Scope of the Policy

Normalized value: ai_support_tool_student_original_contribution_required

Last checked: May 12, 2026
Last changed: May 12, 2026

Original evidence

Evidence 1

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.
Source: Ethical Use of Artificial Intelligence (AI) in Teaching and Learning

Source language: English (en)
Snapshot hash: f601f6ad12a9694acccb64b64de9e4a15203b9dec8fc826ab3bf4e26c79d159b
Retrieved: May 12, 2026
Evidence locator: How Students May Use AI

Normalized value: lecturer_specified_ai_use_levels_0_to_4

Last checked: May 12, 2026
Last changed: May 12, 2026

Original evidence

Evidence 1

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.
Source: Ethical Use of Artificial Intelligence (AI) in Teaching and Learning

Source language: English (en)
Snapshot hash: f601f6ad12a9694acccb64b64de9e4a15203b9dec8fc826ab3bf4e26c79d159b
Retrieved: May 12, 2026
Evidence locator: Levels of AI Use in Coursework

Normalized value: student_ai_declaration_required_non_disclosure_may_be_misconduct

Last checked: May 12, 2026
Last changed: May 12, 2026

Original evidence

Evidence 1

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.
Source: Ethical Use of Artificial Intelligence (AI) in Teaching and Learning

Source language: English (en)
Snapshot hash: f601f6ad12a9694acccb64b64de9e4a15203b9dec8fc826ab3bf4e26c79d159b
Retrieved: May 12, 2026
Evidence locator: Declaration of AI Use

Normalized value: no_confidential_materials_to_public_ai_without_permission

Last checked: May 12, 2026
Last changed: May 12, 2026

Original evidence

Evidence 1

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.
Source: Policy on the Use of Artificial Intelligence (AI) in Teaching and Learning

Source language: English (en)
Snapshot hash: b25698e162e477192bed50f2c30759844718e30b5c690354f50d64032cde5281
Retrieved: May 12, 2026
Evidence locator: Protecting Intellectual Property and Confidential Information

Normalized value: ai_policy_addresses_data_privacy_and_algorithmic_bias_risks

Last checked: May 12, 2026
Last changed: May 12, 2026

Original evidence

Evidence 1

To increase awareness of ethical risks, copyright issues, data security (including data privacy), and the potential for algorithmic bias in the use of AI.
Source: Universiti Malaya Academic Policy on Artificial Intelligence (AI) and Guidelines on the Ethical Use of Artificial Intelligence

Source language: English (en)
Snapshot hash: fa1acc518625d174f544265f4e84cab4283d40d501ac1ec9efc590d4a9c7941a
Retrieved: May 12, 2026
Evidence locator: Academic Policy on Artificial Intelligence, Objectives

Candidate claims

0 machine or needs-review claim

Official sources

3 source attribution

Ethical Use of Artificial Intelligence (AI) in Teaching and Learning

spm.um.edu.my

Source URL: https://spm.um.edu.my/student/ethical-use-of-artificial-intelligence-ai-in-teaching-and-learning/
Snapshot hash: f601f6ad12a9694acccb64b64de9e4a15203b9dec8fc826ab3bf4e26c79d159b

Policy on the Use of Artificial Intelligence (AI) in Teaching and Learning

spm.um.edu.my

Source URL: https://spm.um.edu.my/policy-on-the-use-of-artificial-intelligence-ai-in-teaching-and-learning/
Snapshot hash: b25698e162e477192bed50f2c30759844718e30b5c690354f50d64032cde5281

Universiti Malaya Academic Policy on Artificial Intelligence (AI) and Guidelines on the Ethical Use of Artificial Intelligence

ias.um.edu.my

Source URL: https://ias.um.edu.my/Student%20Affairs/Guideline/Compilation%20Policy%20%26%20GP%20AI%20-%20Final%20V3.pdf
Snapshot hash: fa1acc518625d174f544265f4e84cab4283d40d501ac1ec9efc590d4a9c7941a

Last checkedMay 12, 2026Last changedMay 12, 2026Open change log

Open contribution paths Review workflow

Back to universities

Universiti Malaya (UM)

Record status

Policy profile

Policy presence

AI disclosure

Coursework

Exams

Privacy and data entry

Academic integrity

Approved tools

Named AI services

Teaching guidance

Research guidance

Security and procurement

AI tools

Evidence-backed claims

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.

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.

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.

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.

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

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

Candidate claims

Official sources

Ethical Use of Artificial Intelligence (AI) in Teaching and Learning

Policy on the Use of Artificial Intelligence (AI) in Teaching and Learning

Universiti Malaya Academic Policy on Artificial Intelligence (AI) and Guidelines on the Ethical Use of Artificial Intelligence

Change log

Corrections