Foundations of AI Law, Ethics, and Privacy

As artificial intelligence rapidly transforms industries, understanding the rules that govern its use is no longer optional. Navigating the intersection of technology, law, and ethics is crucial for anyone building, deploying, or utilizing AI tools today. This course equips you with a solid foundation in the core legal principles, ethical considerations, and privacy standards shaping the AI landscape. You will learn how to identify legal risks, protect user data, and align AI initiatives with emerging global standards of responsibility. What you'll learn: - Understand the fundamental terminology, core concepts, and history of AI law and ethics - Analyze key privacy concerns, data protection laws, and consent models relevant to training AI models - Evaluate intellectual property and copyright challenges associated with generative AI and data scraping - Navigate modern global AI regulatory frameworks and compliance requirements - Identify ethical issues such as algorithmic bias, transparency, and accountability in automated decision-making - Assess liability and risk management strategies for AI-related errors and hallucinations The course starts with foundational definitions and key ethical theories before moving into practical legal applications, intellectual property, and international regulatory trends. Through structured written explanations and conceptual analysis, you will develop a practical framework for analyzing AI governance. This course is designed for beginners, including developers, business leaders, policy creators, and curious professionals. No prior background in law or programming is required. Start building your understanding of AI legalities and ethics to guide your organization toward responsible innovation.