AI Regulation and Law: Compliance and Ethical Frameworks

As artificial intelligence rapidly transforms industries, staying compliant with evolving global laws is no longer optional. Understanding how regulations govern algorithms, data privacy, and automated decision-making is essential for developers, managers, and legal professionals alike. This text-only course guides you from foundational AI concepts to the complex landscape of modern legal frameworks, empowering you to navigate compliance risks and design ethical, human-centered AI strategies. What you'll learn: - Understand the fundamental terminology of artificial intelligence, machine learning, and automated systems. - Analyze global regulatory frameworks, including modern risk-based classification systems. - Evaluate the ethical dimensions of AI, focusing on bias mitigation, transparency, and human oversight. - Identify data privacy requirements and intellectual property challenges unique to generative AI. - Apply compliance workflows and risk assessment methodologies to real-world scenarios through written exercises. You will begin by exploring core AI definitions and technical basics before diving into major international regulatory approaches, ethical governance, and practical compliance strategies. Through structured written lessons and analytical case studies, you will learn to align technological innovation with legal requirements. Designed for beginners, this course requires no prior legal background or programming experience, making it perfect for anyone looking to understand the legal future of technology. Start reading today to build a solid foundation in modern AI law and compliance.