Course Details

This course is appropriate for a wide range of professionals but not limited to:

• Chief Risk Officers
• AI Governance Managers
• Compliance Officers
• Internal Auditors
• Cybersecurity Managers
• Digital Transformation Leaders

• Expert-led sessions with dynamic visual aids
• Comprehensive course manual to support practical application and reinforcement
• Interactive discussions addressing participants’ real-world projects and challenges
• Insightful case studies and proven best practices to enhance learning

By the end of this course, participants will be able to:

• Understand the fundamentals of AI and its impact on organizations and industries
• Identify high-value AI use cases in business functions and value chains
• Develop strategic roadmaps for AI adoption and innovation
• Address ethical, governance, and change management challenges in AI integration
• Lead cross-functional teams in implementing AI projects responsibly and effectively

DAY 1

Foundations of AI Safety and Risk Management

• Introduction to AI technologies and applications
• AI safety concepts and principles
• Understanding AI risk categories
• AI lifecycle and risk exposure points
• Global AI governance landscape
• AI incidents and lessons learned

DAY 2

AI Risk Identification and Assessment

• Risk assessment methodologies
• Bias, fairness, and discrimination risks
• Data quality and integrity risks
• Model transparency and explainability challenges
• Third-party and supply chain AI risks
• Risk documentation and reporting
   

DAY 3

AI Governance and Compliance

• AI governance structures and accountability
• Regulatory frameworks and standards
• AI policies and organizational controls
• Human oversight and decision accountability
• Ethical AI implementation
• Audit readiness and compliance monitoring

DAY 4

AI Security and Operational Resilience

• AI cybersecurity threats and vulnerabilities
• Adversarial attacks and model manipulation
• Privacy and data protection considerations
• Incident response planning for AI systems
• Business continuity and resilience strategies
• AI monitoring and performance management

DAY 5

Building an Enterprise AI Risk Program

• AI risk mitigation strategies
• Risk appetite and tolerance frameworks
• AI assurance and validation techniques
• Vendor and procurement risk management
• Developing AI governance roadmaps
• Workshop: Enterprise AI Risk Framework Design