Introduction to Responsible AI and Ethics

As artificial intelligence becomes central to modern technology, understanding the ethical implications and safety standards of AI systems is no longer optional. This written course introduces you to the core principles of building and deploying AI responsibly. You will transition from a general understanding of AI to a structured framework for evaluating bias, ensuring fairness, and implementing governance in real-world applications. What you'll learn: - Understand the foundational definitions, core principles, and history of responsible AI. - Identify and mitigate bias and fairness issues in machine learning datasets and modern large language models. - Apply safety and alignment frameworks to prevent harmful outputs in generative AI applications. - Configure transparency and explainability protocols to make AI decision-making processes understandable to users. - Design basic AI governance workflows to ensure compliance with emerging ethical standards and regulations. The course starts with essential terminology and ethical theory before guiding you through practical scenarios, case studies, and written exercises on modern AI alignment and governance. Designed entirely for beginners, this text-only course requires no prior programming or data science background. Begin your journey toward building trustworthy and ethical AI systems today.