Foundations of Explainable AI (XAI)

Are you curious about how machine learning models make decisions? This course demystifies Explainable AI (XAI), providing the foundational knowledge needed to understand and interpret AI systems. You will gain practical insights into the motivations and value of XAI, build a strong grasp of its terminology, and learn to categorize different explanation methods. The course covers key concepts, enabling you to correctly interpret the outputs of various ML models and understand their behavior. What you'll learn: - Grasp the fundamental concepts and definitions of Explainable AI. - Understand the practical value and motivations behind XAI. - Classify and differentiate various methods for explaining AI models. - Learn to interpret the decision-making processes of machine learning models. - Build a vocabulary for discussing and understanding XAI. - Practice interpreting model behavior through textual exercises. The course progresses from basic definitions to practical application, guiding you through the essential elements of XAI. This program is designed for beginners with no prior experience in XAI or advanced ML. Start your journey into understanding AI's inner workings today.