1.1 AI in the Modern World
1.2 Challenges in AI Security
1.3 Consequences of Neglecting AI Security
1.4 Emerging AI Risk Areas
1.5 Real-World Case Studies and Applications

2.1 What is AI Governance?
2.2 Key Components of AI Governance
2.3 Why AI Governance Matters
2.4 The Need for Ethical AI
2.5 RSAIF MOSAIC Governance Domain
2.6 Why AI Governance Fails Without RSAIF: A Comprehensive Analysis
2.7 Interactive Activity: Mini Case Study Discussion
2.8 Conclusion and Executive Recap

3.1 Introduction: The Executive’s Role in AI Security
3.2 Why Executives Must Lead in AI Security
3.3 Responsibilities of Executives in AI Security, Risk Management, and Governance
3.4 Top-Down Leadership
3.5 RSAIF’s Leadership and Oversight Functions: A Precise Overview
3.6 Interactive Activity
3.7 Conclusion and Executive Recap

4.1 Common Red Flags in AI Projects
4.2 Indicators of Poor Governance in AI Projects: Missing Ownership or Change Logs
4.3 Overview of RSAIF Control Integration in the AI Lifecycle
4.4 Interactive Activity: Risk Identification Exercise – RSAIF Governance

5.1 Success Stories: Discuss real-world examples of AI projects with strong governance and ethical design
5.2 Failures in AI: Lack of Oversight and Governance
5.3 RSAIF’s Outcome-Based Approach
5.4 Interactive Activity: RSAIF Maturity Assessment Interactive Walkthrough

6.1 RSAIF MOSAIC Framework
6.2 RSAIF’s Integrated Controls: Application to Real-World AI Systems

7.1 RSAIF-MOSAIC Framework
7.2: Self-Assessment: Participants will use the RSAIF Maturity Assessment toolkit to evaluate their current AI governance and security maturity.

9.1 In-Depth Case Studies: Examine Successful and Failed AI Projects, with a Focus on Compliance and AI Governance Lessons
9.2 Personal Action Plan: AI Governance Aligned with RSAIF MOSAIC