Record STMT-W09262CVoluntary

The National Guidelines on AI Governance & Ethics

THE NATIONAL GUIDELINES ON AI GOVERNANCE & ETHICS

Framework Institutional policySouth-eastern Asia · MYadopted

The National Guidelines on AI Governance & Ethics (AIGE) provide a comprehensive reference framework for stakeholders in Malaysia, including end-users, policymakers, and industry developers. It establishes seven core AI principles: fairness, reliability, safety and control, privacy and security, inclusiveness, transparency, accountability, and the pursuit of human benefit and happiness. The document supports the implementation of the Malaysian National Artificial Intelligence Roadmap 2021-2025 by fostering public trust, mitigating ethical risks, and aligning national practices with international standards.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Ministry of Science, Technology and InnovationGovernment (executive) · MY

Lead issuer

Legal forceVoluntary

Under whose authorityInstitutional policy

Judged fromfull text

Who it governs

General publicNational governmentRegulatorsPublic sector bodiesCompaniesAI developers and providersAI deployers and usersResearchers and academics

This document is for Malaysian policymakers, industry developers, and end-users seeking guidance on the responsible and ethical development, deployment, and use of AI technologies.

Sectors

Cross-sector

What the document contains

What's covered

The guidelines cover foundational AI concepts, stakeholder-specific responsibilities, risk categorization, data governance, and international benchmarking. They provide detailed dos and don'ts, practical checklists, and case studies demonstrating responsible AI implementation across various sectors.

What's missing

The document does not introduce a standalone, binding statutory AI Act, relying instead on existing Malaysian laws and voluntary adoption until dedicated legislation is enacted.

Key takeaways

The guidelines establish seven core principles for Responsible AI in Malaysia to build trust and mitigate ethical risks.
The document provides tailored guidance for three main groups: end-users, policymakers, and sector developers.
Implementation is designed to be voluntary and adaptable, serving as a living document that evolves with technology.
Malaysia aligns its national AI strategy with international benchmarks such as UNESCO and OECD recommendations.
Existing legal frameworks and the Rukun Negara national principles underpin the ethical and legal approach to AI governance.

Principles it states

FairnessReliability, Safety and ControlPrivacy and SecurityInclusivenessTransparencyAccountabilityPursuit of human benefit and happiness

Outline

· Section 1: Introduction
· Section 2: Understanding AI
· Section 3: National Guidelines For Stakeholders (Part A: End Users, Part B: Policy Makers, Part C: Developers & Sector Players)
· Section 4: Benchmarking And International Smart Partnership
· Section 5: Conclusion

Issued2024

Length37,350 words · 140 pages

FormatNot recorded

Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

4/5

Clear responsibility for AI outcomes

The developers, owners of AI models, and AI actors should be accountable for the success or failure of the AI solutions. They should take responsibility for ensuring the proper functioning of AI systems

Section 2.7.3

screening score · 2026-10-24

Fairness

4/5

Non-discrimination and equitable treatment

The development of AI must be designed to avoid bias or discrimination against the target users. All AI systems should not have one-size-fits-all approaches and should address the widest possible range of factors

Section 2.7.3

screening score · 2026-10-24

Human Dignity

4/5

Respect for the inherent worth of persons

The protection of human rights and dignity is the cornerstone of the Recommendation, based on the advancement of fundamental principles such as transparency and fairness.

Section 2.5

screening score · 2026-10-24

Human Oversight

4/5

Humans remain in control of consequential decisions

Human oversight helps to ensure that AI systems do not undermine human autonomy through governance mechanisms such as human-in-the-loop (HITL), human-on-the-loop (HOTL), and human-in-command (HIC).

Section 2.7.3

screening score · 2026-10-24

Privacy

4/5

Protection of personal data and private life

Developers should where necessary obtain consent from individuals before using or disclosing personal data for AI development and deployment. The systems must guarantee privacy and data protection throughout the entire life cycle

Section 2.7.3

screening score · 2026-10-24

Transparency

4/5

Openness about how AI systems work and are used

AI algorithms should be transparent to ensure that any capabilities can be explained, both technical processes of an AI systems and related human decisions.

Section 2.7.3

screening score · 2026-10-24

Impact Assessment

4/5

Required assessment of an AI system's risks/impacts before or during use

Developers and end-users are encouraged to carry out relevant testing and certification as well as risk and impact assessments to prevent any potential harm and mitigate risks.

Section 2.7.3

screening score · 2026-10-24

Topics

Physical AI Governancecore

ai_governance ai_ethics responsible_ai national_guidelines artificial_intelligence