Executive Introduction to RSAIF: A Primer on Responsible and Secure AI

Gain essential knowledge on AI governance, security, and compliance with RSAIF's framework. Equip executives with the tools to lead responsible, transparent, and secure AI initiatives.

Executive-Level AI Oversight: Gain a strategic understanding of the executive role in leading AI initiatives, ensuring alignment with ethical standards and global governance frameworks.

Building Ethical AI Cultures: Learn how to foster a culture of responsibility and ethics within AI teams, ensuring AI systems are developed with transparency and fairness from the top down.

Regulatory Compliance Leadership: Understand the impact of international regulations like GDPR and the EU AI Act on AI projects, and how executives can ensure compliance across the organization.

Strategic Risk Mitigation: Develop the skills to identify and manage organizational AI risks, ensuring AI systems are secure, ethical, and aligned with regulatory requirements.

Driving Responsible AI Innovation: Learn how to lead AI innovation that is both impactful and responsible, ensuring that AI technologies contribute positively to society while mitigating potential harms.

C-suite Executives: For CEOs, CTOs, and CIOs leading AI initiatives with a focus on security, compliance, and ethical governance

Policy Makers: Ideal for officials shaping AI policies and ensuring regulatory compliance with standards like GDPR and the EU AI Act.

Risk and Compliance Managers: Perfect for professionals managing AI risks and ensuring systems meet compliance and ethical standards.

IT Security Leaders: Targeted at CISOs overseeing AI system security and protecting against adversarial threats and data breaches.

AI Project Managers: Designed for managers leading AI projects, ensuring governance, risk management, and ethical oversight.

None required, but a basic understanding of AI governance and security is recommended.

Moduł 1: AI Security Frameworks: Safeguarding AI Systems Across Industries

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

Moduł 2: Simplifying AI Governance

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

Moduł 3: The Executive’s Role in AI Security

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

Moduł 4: Red Flags to Watch

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

Moduł 5: Success Stories & Failures

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

Moduł 6: Understanding the RSAIF MOSAIC Framework

6.1 RSAIF MOSAIC Framework

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

Moduł 7: Governance, Oversight, and Compliance

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.

Moduł 8: Identifying AI Risks and Red Flags

8.1 Spotting Red Flag

8.2 Practical Application: Identifying Red Flags in an AI Project Case Study Based on RSAIF Controls

8.3 Sample Case Study

Moduł 9: Learning from Real-World Successes & Failures

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