Why Attend
As Artificial Intelligence becomes embedded in business operations, organizations must establish effective governance frameworks to ensure AI systems are ethical, transparent, compliant, and aligned with strategic objectives.
This course provides participants with practical guidance on AI governance, risk management, ethical oversight, regulatory compliance, and organizational accountability to support responsible AI adoption.
Course Methodology
The course combines presentations, practical workshops, case studies, group discussions, governance framework exercises, AI risk assessments, policy development activities, and real-world implementation scenarios.
Course Objectives
By the end of this course, participants will be able to:
-
Understand the principles and importance of AI governance
-
Establish governance structures for responsible AI adoption
-
Identify and manage AI-related risks and compliance requirements
-
Apply ethical principles to AI development and deployment
-
Address AI bias, transparency, and accountability challenges
-
Develop AI oversight committees and governance frameworks
-
Monitor emerging regulations and future AI governance trends
Target Audience
-
Governance and compliance professionals
-
Risk management specialists
-
Internal auditors
-
Digital transformation leaders
-
IT managers and technology professionals
-
Legal and regulatory professionals
-
Executives responsible for AI strategy and oversight
Target Competencies
-
AI governance
-
Risk management
-
Regulatory compliance
-
Ethical AI implementation
-
Policy development
-
Strategic decision-making
-
Digital transformation leadership
-
Stakeholder management
