Foundations of Responsible AI and AI Ethics

As artificial intelligence increasingly shapes our daily lives, building systems that are fair, transparent, and accountable is no longer optional—it is a necessity. This text-only course introduces you to the core principles of ethical AI, helping you navigate the complex balance between technological innovation and social responsibility. You will learn to recognize ethical risks and implement practical safeguards in modern AI projects. What you'll learn: - Understand the core principles of AI ethics, including fairness, accountability, and transparency - Identify and mitigate bias in data collection and machine learning algorithms - Explore modern safety challenges in generative AI, such as alignment, hallucination, and guardrails - Apply responsible AI governance frameworks to real-world deployment scenarios - Protect user privacy and maintain data security in AI-driven applications Starting with fundamental definitions and historical context, the course guides you step-by-step through ethical decision-making frameworks, technical mitigation strategies, and industry best practices. This course is designed for beginners, developers, product managers, and curious learners who want to understand the societal impact of AI. No prior technical background or programming experience is required. Start reading today to build technology that is safe, equitable, and trustworthy.