AI Ethics: Documenting and Evaluating Intelligent Systems

As artificial intelligence becomes deeply integrated into daily life, ensuring these systems are fair, transparent, and accountable is more critical than ever. Organizations need professionals who can systematically identify ethical risks and document compliance. This text-only course guides you through the foundational concepts of AI ethics, auditing, and governance. You will transition from understanding basic ethical principles to actively evaluating models for bias and generating industry-standard documentation. What you'll learn: - Understand foundational AI ethics principles, key terminology, and modern governance frameworks. - Identify and mitigate algorithmic bias, fairness issues, and data representation gaps. - Evaluate AI model performance using ethical metrics and risk assessment protocols. - Create professional Model Cards and system documentation to ensure transparency. - Apply modern compliance concepts and best practices to real-world AI deployments. The course begins with core definitions and ethical theories before moving into practical methodologies for auditing models and drafting clear, structured compliance documentation through written exercises. This course is designed for beginners, developers, and aspiring AI auditors, requiring no prior programming experience or advanced technical background. Start reading today to build the skills needed to champion responsible AI in any organization.