AI is transforming industries, but without regulation, it can pose significant risks to privacy, security, and fairness. In this introductory lesson, you'll learn why the EU AI Act was created, the fundamental principles behind it, and the key responsibilities it establishes for AI developers and users.

Now that you understand the purpose of the Act, it's time to explore the obligations it imposes. In this lesson, you'll learn about the distinct responsibilities of AI providers and deployers, the importance of AI literacy, and the ethical considerations businesses must adopt to ensure responsible AI use.

Building on the compliance obligations, this lesson introduces the EU AI Act's risk-based approach to AI regulation. You'll examine the four AI risk categories, unacceptable, high, limited, and minimal, and understand the compliance requirements associated with each level.

With an understanding of AI risk levels, this lesson explores the specific compliance measures required for high-risk and limited-risk AI systems. You'll learn about risk management, data governance, transparency obligations, and the penalties for non-compliance.

Unlike task-specific AI, General-Purpose AI (GPAI) presents unique challenges due to its adaptability across multiple applications. In this lesson, you'll examine why GPAI is difficult to regulate and how the EU AI Act addresses concerns like transparency, accountability, and ethical risks.