You are here:

AI Governance for Business Leaders

Artificial Intelligence (AI) is increasingly shaping how organisations make decisions, serve customers, manage operations and deliver services. As AI adoption grows, business leaders are also facing greater expectations around accountability, risk management, regulatory compliance and responsible use.

This course, titled AI Governance for Business Leaders, is designed for senior managers and functional leaders who are involved in adopting, approving, procuring, operating or overseeing AI systems. Without requiring any technical background, the course provides practical knowledge to help participants understand key AI concepts, identify potential risks, establish appropriate governance controls, and make informed decisions about the use of AI within their organisations. Participants will explore accountability, risk ownership, procurement, monitoring and regulatory considerations, with particular emphasis on the Malaysian and regional context. Through practical application and organisational use cases, the course equips leaders with the knowledge and tools needed to govern AI responsibly and effectively.

Incentives available for groups and teams of four or more attending open enrollment programs

DOWNLOAD BROCHURE

This program is designed for senior managers and functional leaders responsible for adopting, approving, procuring, operating or assuring AI, including those in strategy, operations, IT, data, procurement, HR, risk, compliance, legal, internal audit and governance functions. It is relevant across corporations, government-linked companies, SMEs, public bodies and regulated institutions, including financial institutions operating under Bank Negara Malaysia expectations. Participants should hold mid to senior level decision-making responsibility. No coding or technical background is required.
The primary aim of this program is to equip participants to establish and exercise practical governance over AI in their organisations. Participants will learn what must be understood before approving or using an AI system, how to identify and take ownership of AI risks, including those arising from generative and agentic AI, how to apply recognised governance frameworks to real use cases, and how to design controls, accountability structures, monitoring and management reporting that stand up to regulatory, audit and board scrutiny. Each participant will leave with a set of practical governance outputs and a 90-day action plan for implementation in their own organisation.
The program includes:
- Module 1: Introduction to AI and Its Relevance for Decision Makers – Provides only the AI knowledge required for governance. Briefly distinguishes conventional machine learning, generative AI and emerging agentic AI, followed by common organisational use cases and their different levels of business impact.
- Module 2: Understanding AI Models – What They Are and How They Work – Focuses on what a business leader must understand before approving or using an AI system: the AI lifecycle, data dependencies, model limitations, outsourced and vendor-hosted systems, material changes, and the questions leaders should ask technical and business teams.
- Module 3: Explainable AI – Tools to Understand and Trust Model Outputs – Presents explainability as one governance control among several, covering transparency, documentation, human review, decision challenge, audit trails, recourse, monitoring and escalation.
- Module 4: AI Risks, Failures, and Ethical Challenges – Covers current generative AI risks, including hallucinations, confidential data leakage, shadow AI, copyright and intellectual property risks, prompt injection, unsafe automation, bias, overreliance by staff, third-party foundation models, vendor changes, and the risks created by AI agents taking actions rather than merely producing content.
- Module 5: Governance and Regulatory Approaches for Responsible AI – The practical centre of the program. Covers Malaysia’s National Guidelines on AI Governance and Ethics, the PDPA, ISO/IEC 42001, the NIST AI Risk Management Framework, relevant aspects of the EU AI Act and sector-specific expectations, applied by participants to a common organisational use case to decide the controls, ownership, approvals and monitoring required.
Ir. Dr. Manjeevan Singh Seera
PhD in Computational Intelligence, Universiti Sains Malaysia
Associate Professor, School of Business, Monash University Malaysia
HRDCorp Trainer Number: 16092
Ir. Dr. Manjeevan Singh Seera is an Associate Professor at the School of Business, Monash University Malaysia, and a registered professional engineer with extensive expertise spanning machine learning, predictive analytics, AI governance, and sustainable technology applications. He holds a PhD in Computational Intelligence from Universiti Sains Malaysia and brings both academic rigour and industry-facing practice to every engagement.
In this programme, Dr. Manjeevan leads participants through the full arc of AI literacy for governance — from demystifying how AI and machine learning models function, to equipping decision makers with practical tools for evaluating model outputs and assessing explainability. He facilitates the programme's risk and ethics modules, guiding participants through real-world AI failure cases and structured scenario discussions, and anchors the final day's exploration of governance frameworks and the evolving regulatory landscape.

Dr. Manjeevan has a strong track record of delivering executive training for financial institutions and regulatory bodies, helping senior professionals bridge the gap between technical AI capabilities and strategic oversight responsibilities. His approach is deliberately non-technical in delivery whilst remaining analytically grounded — making complex concepts accessible and immediately applicable for leaders in compliance, risk, legal, and policy functions.

Beyond the classroom, his research contributions span intelligent systems, energy analytics, and responsible AI, and he is recognised for translating cutting-edge developments into practical organisational guidance. Participants in this programme benefit not only from his academic depth but from the applied, business-oriented perspective he brings to every module.

Session 2-1-1 Block

2026 Session

28-29 October 2026

START:: 28th October at 9 a.m.
END:: 29th October at 5 p.m.
FORMAT:: In-person at Monash University, Bandar Sunway Campus, Kuala Lumpur, Malaysia

Education and Training Academy

Education and Training Academy

AI Governance for Business Leaders