AI Governance Foundations

This training course provides a foundational understanding of AI governance, designed to equip professionals with the knowledge and skills to navigate the complexities of responsible artificial intelligence. Developed by Safeshield, a leading provider of cybersecurity, compliance, risk management, and AI governance training, this free course aims to make high-quality education accessible.

We'll build your understanding of AI governance from the ground up. By the end, you'll be able to:

• Clearly define AI governance within its specific context.
• Articulate the importance of AI governance for organizations.
• Identify the core principles guiding effective AI governance: accountability, transparency, fairness, and privacy.

You'll gain insights into the most influential global AI frameworks shaping AI implementation, including:

• ISO 42001: A key standard for AI management systems.
• NIST AI Risk Management Framework: A practical guide for AI risk management.
• EU AI Act: Understanding the regulatory landscape of AI in Europe.
• OECD Principles on AI.
• UNESCO’s Ethics Guidelines for AI.

The course comprehensively covers the entire AI lifecycle, from design and development through deployment, monitoring, and system retirement. We'll delve into critical aspects such as:

• Risk management strategies for AI systems.
• Defining roles and responsibilities within an AI governance framework.
• Developing effective policies and procedures for AI.
• The importance of auditing and monitoring AI systems.

Finally, we'll explore the connection between AI governance and broader corporate governance and compliance requirements. We'll address common challenges organizations face, highlight emerging trends in AI, and examine real-world case studies to illustrate key concepts.

Please note: While artificial intelligence has been used to support research in this course, all final content is written and validated by a certified subject matter expert. References to standards like ISO/IEC 42001 and the NIST AI RMF are for educational purposes only, and these standards remain copyrighted by their respective organizations. We encourage you to obtain the official standards for complete details.