Understanding AI Rules and Responsibilities

In this course on Understanding AI Rules and Responsibilities, you’ll explore how regional and global AI regulations shape development, deployment, and oversight. You'll also examine risk-based classification systems and operational compliance strategies. These insights help ensure your AI systems meet legal obligations across jurisdictions.

To build that foundation, you'll explore the major frameworks shaping today’s AI governance landscape. You'll examine the EU AI Act in depth, presenting real-world enforcement steps and accountability roles. You’ll gain clarity on classification triggers and strengthen your ability to apply documentation and conformity requirements. You'll also explore U.S. sectoral oversight, international coordination efforts, and tools like ISO 42001 and the NIST AI Risk Management Framework to give you a complete understanding of legal and practical compliance. By the end of this course, you’ll know how to align your organization’s AI practices with evolving international standards.

Learning Objectives:

• Identify AI risk categories under the EU AI Act
• Explain global differences in AI regulatory approaches
• Apply documentation and conformity steps for high-risk AI systems
• Compare voluntary standards like ISO 42001 and NIST RMF
• Evaluate compliance strategies across regional and international frameworks