Public Sector Artificial Intelligence (AI) Adaptation Guidelines
Garis Panduan Pengadaptasian Kecerdasan Buatan (AI) Sektor Awam
The Public Sector Artificial Intelligence (AI) Adaptation Guidelines provide a comprehensive framework for Malaysian public sector agencies to adopt AI technologies ethically, securely, and effectively. Developed by the Jabatan Digital Negara (National Digital Department), the guidelines aim to enhance public service delivery, align with national strategies such as the National AI Governance and Ethics Guidelines (AIGE), and adhere to seven core ethical principles. The document outlines actor responsibilities, project implementation steps, risk management tiers, and includes practical use cases and a self-assessment checklist.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Public sector agencies, civil servants, and related stakeholders in Malaysia looking to adopt AI technologies responsibly and effectively.
What the document contains
The document covers fundamental AI concepts and lifecycles, compliance with Malaysian legislation and policies, seven ethical principles for public sector AI, actor responsibilities, implementation steps, and AI risk categorization. It also provides global and local use cases and an ethical self-assessment template.
Not stated
- The guidelines establish seven core ethical principles for AI adoption in the public sector, including data privacy and security, transparency, accountability, fairness, inclusiveness, reliability and robustness, and sustainability.
- The document clearly defines the roles and responsibilities of different AI actors, such as developers, deployers, policymakers, infrastructure providers, consultants, and users.
- Agencies must meet eight key requirements to ensure successful AI adaptation, ranging from leadership support and strategic vision to financial planning and change management.
- A structured risk management approach is introduced, categorizing AI applications into prohibited, high-risk, limited-risk, and minimal-risk categories.
- Practical appendices provide global and domestic use cases alongside a self-assessment tool to evaluate ethical compliance.
· Senarai Akronim · Prakata · Pengenalan · Bahagian 1: Pengenalan Kepada Kecerdasan Buatan (AI) · Bahagian 2: Prinsip Etika AI Dalam Sektor Awam · Bahagian 3: Pengadaptasian AI Dalam Sektor Awam · Bahagian 4: Lampiran
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
3.3 Akauntabiliti (Accountability)
BAHAGIAN 2: PRINSIP ETIKA AI DALAM SEKTOR AWAM
screening score · 2026-10-24
Fairness
4/5Non-discrimination and equitable treatment
3.4 Kesaksamaan (Fairness)
BAHAGIAN 2: PRINSIP ETIKA AI DALAM SEKTOR AWAM
screening score · 2026-10-24
Human Dignity
2/5Respect for the inherent worth of persons
memastikan setiap aplikasi AI di sektor awam mendukung prinsip keselamatan, tanggungjawab dan keadilan sosial, sekali gus memperkukuh kepercayaan rakyat
Prakata
screening score · 2026-10-24
Human Oversight
1/5Humans remain in control of consequential decisions
Pengguna
4.6 Pengguna
screening score · 2026-10-24
Privacy
4/5Protection of personal data and private life
3.1 Privasi dan Keselamatan Data (Data Privacy and Security)
BAHAGIAN 2: PRINSIP ETIKA AI DALAM SEKTOR AWAM
screening score · 2026-10-24
Transparency
4/5Openness about how AI systems work and are used
3.2 Ketelusan (Transparency)
BAHAGIAN 2: PRINSIP ETIKA AI DALAM SEKTOR AWAM
screening score · 2026-10-24
Enforcement
1/5Consequences and compliance mechanisms with real force
sebagai pelengkap kepada Garis Panduan Tadbir Urus dan Etika Kecerdasan Buatan Negara (National AIGE), garis panduan ini menyediakan pelan tindakan yang terperinci
PENGENALAN
screening score · 2026-10-24
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
Manakala bahagian keempat adalah lampiran yang dilengkapi dengan contoh use case AI sektor awam dan templat penilaian kendiri untuk dimanfaatkan agensi sektor awam.
PENGENALAN
screening score · 2026-10-24