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Artificial Intelligence (AI) Leadership & Governance for Boards and Senior Management: From Policy to Practice

A two-day executive programme that bridges AI policy and practice, builds board-level governance capability, and produces organisation-specific oversight instruments.

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Programme Overview

AI is transforming decision-making, service delivery and organisational competitiveness, but weak leadership and governance can create ethical, legal, operational and reputational risk.

This executive programme strengthens board and senior-management capability, aligns organisational action with Malaysia's National AI Roadmap and recognised governance frameworks, and connects policy with Responsible AI practice.

Participants finish with an AI use-case inventory, a risk-tiered register with accountable owners, a board oversight protocol and a twelve-month governance roadmap. Live failure demonstrations make governance risks and controls tangible.

Core Target Group

Board members, trustees and chief executive officers
Senior management, COOs, CIOs and other C-suite executives
Policymakers, governance professionals and regulators
Governance, risk and compliance leaders
Heads of strategy, digital transformation and innovation
AI designers, data scientists, developers and engineers
Researchers, practitioners and officers responsible for AI strategy or implementation

Why This Programme Matters

Leaders gain practical tools to identify AI systems, classify risk, assign accountability and oversee trustworthy, lawful and value-driven AI adoption.

Programme Objectives

Understand the strategic importance of AI at board and senior-management level.
Apply structured AI policy and governance processes to sector use cases.
Align organisational initiatives with Malaysia's National AI Roadmap.
Establish governance, oversight and assurance mechanisms with clear roles and accountability.
Integrate Responsible AI principles into decisions and implementation.
Identify all AI systems, including shadow AI, classify their risk and assign accountable owners.
Recognise common AI failure modes and define controls, escalation thresholds and intervention criteria.

Learning Outcomes

Provide effective board-level oversight of AI initiatives.
Strengthen AI governance, ethics and accountability while reducing legal and reputational risk.
Align AI adoption with national policy and global good practice.
Produce a board-ready AI use-case inventory with risk tier, owner and review frequency.
Chair a structured AI oversight discussion and recognise hallucination, prompt injection, retrieval failure and bias.
Place AI oversight on the board calendar with a defined reporting format.

Course Content

Module 1: AI Policy Development and Implementation

Module 2: Malaysia's National AI Roadmap

Module 3: AI Governance

Module 4: Leadership Roles and Responsibilities

Module 5: Responsible AI and Ethics

Module 6: AI Governance in Practice - Building Your Oversight Instruments

3 hours

Learning Methodologies

Expert-led presentations and interactive lectures
Practical exercises and local or international case studies
Guided governance document development
Facilitated risk-classification workshop
Live AI failure and control demonstrations
Boardroom simulation and role-play
Structured peer review, reflection and Q&A

Course Enquiry

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Share your preferred delivery format, participant requirements and timeline. Our training team will respond with programme and scheduling details.

ProgrammeArtificial Intelligence (AI) Leadership & Governance for Boards and Senior Management: From Policy to Practice

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Programme Overview

AI is transforming decision-making, service delivery and organisational competitiveness, but weak leadership and governance can create ethical, legal, operational and reputational risk.

Core Target Group

Board members, trustees and chief executive officers

Senior management, COOs, CIOs and other C-suite executives

Policymakers, governance professionals and regulators

Governance, risk and compliance leaders

Heads of strategy, digital transformation and innovation

AI designers, data scientists, developers and engineers

Researchers, practitioners and officers responsible for AI strategy or implementation

Programme Objectives

Understand the strategic importance of AI at board and senior-management level.

Apply structured AI policy and governance processes to sector use cases.

Align organisational initiatives with Malaysia's National AI Roadmap.

Establish governance, oversight and assurance mechanisms with clear roles and accountability.

Integrate Responsible AI principles into decisions and implementation.

Identify all AI systems, including shadow AI, classify their risk and assign accountable owners.

Recognise common AI failure modes and define controls, escalation thresholds and intervention criteria.

Learning Outcomes

Provide effective board-level oversight of AI initiatives.

Strengthen AI governance, ethics and accountability while reducing legal and reputational risk.

Align AI adoption with national policy and global good practice.

Produce a board-ready AI use-case inventory with risk tier, owner and review frequency.

Chair a structured AI oversight discussion and recognise hallucination, prompt injection, retrieval failure and bias.

Place AI oversight on the board calendar with a defined reporting format.

Learning Methodologies

Expert-led presentations and interactive lectures

Practical exercises and local or international case studies

Guided governance document development

Facilitated risk-classification workshop

Live AI failure and control demonstrations

Boardroom simulation and role-play

Structured peer review, reflection and Q&A