Explore the concept of explainable AI (XAI) and its significance in creating machine learning models that not only deliver predictions but also provide understandable explanations. Discover the challenges posed by complex algorithms, particularly in deep learning, and the critical need for transparency in scenarios with legal or life-altering implications. Understanding the varying levels of explainability across different algorithms is essential for building trust in AI systems.
