About the course
Course Type
Executive Leadership | Governance & Responsible AI Deployment
Institution
C-Lab Institute
Overview
Artificial Intelligence does not fail because of poor models — it fails because organisations lack governance.
This course is the second stage in the C-Lab Institute AI Leadership pathway. After establishing AI Readiness, leaders must now design and oversee governance systems that ensure AI is deployed responsibly, safely, and sustainably.
Participants will learn how to:
• Identify AI risk across strategic, operational, legal, and reputational domains
• Design governance frameworks aligned with global standards
• Implement oversight, accountability, and lifecycle controls
• Establish policy, audit, and monitoring mechanisms
• Make informed go / no-go deployment decisions
This course focuses on executive judgement and institutional responsibility — not technical coding.
By the end of the programme, leaders will be equipped to answer the critical question:
“Can AI be trusted in my organisation?”
Primary 3R Dimension: Responsibility (Do)
Progression Path: Practitioner → Leader
Requirements
- Programme Alignment:C-Lab AI Leadership Pathway – Responsibility Stage
- Coin Allocation:Responsibility Coins
- Prerequisite:Completion of AI Readiness for Leaders
Course content
Enrolment options
AI Responsibility for Leaders: AI Governance & Responsible Deployment for Leaders
Course Type
Executive Leadership | Governance & Responsible AI Deployment
Institution
C-Lab Institute
Overview
Artificial Intelligence does not fail because of poor models — it fails because organisations lack governance.
This course is the second stage in the C-Lab Institute AI Leadership pathway. After establishing AI Readiness, leaders must now design and oversee governance systems that ensure AI is deployed responsibly, safely, and sustainably.
Participants will learn how to:
• Identify AI risk across strategic, operational, legal, and reputational domains
• Design governance frameworks aligned with global standards
• Implement oversight, accountability, and lifecycle controls
• Establish policy, audit, and monitoring mechanisms
• Make informed go / no-go deployment decisions
This course focuses on executive judgement and institutional responsibility — not technical coding.
By the end of the programme, leaders will be equipped to answer the critical question:
“Can AI be trusted in my organisation?”
Primary 3R Dimension: Responsibility (Do)
Progression Path: Practitioner → Leader
- Teacher: Dr. Patrick Chin
- Enrolled students: There are no students enrolled in this course.

