What is Explainable AI?

In this video, we explore Explainable AI (XAI) and its importance in making AI systems transparent and trustworthy. We discuss various techniques used for explainability, such as perplexity measurement and human evaluation, and provide examples from healthcare, human resources, and autonomous driving. Learn why explainable AI is crucial for building trust, ensuring fair outcomes, and demonstrating AI's value in competitive environments. For more insights, check out the Knowledge Institute's article, A New Approach to Explainable AI.