#22 - Explainable AI (XAI): Interpreting and Understanding Machine Learning Models

In this enlightening episode of AI Frontier, we delve deep into Explainable AI (XAI). We discuss the importance of understanding and interpreting AI systems, real-world examples of AI transparency issues, ethical implications, and regulatory requirements. We also explore a variety of XAI techniques, their challenges, and limitations, and the future of this crucial field. As AI continues to permeate our lives, this episode underscores the growing need for transparency, interpretability, and accountability in AI systems.