explainable ai

Introduction to Explainable AI (XAI) Explainable Artificial Intelligence (XAI) refers to methods and techniques in artificial intelligence that elucidate the decision-making processes of complex systems. As AI models have increasingly grown sophisticated, they often operate as “black boxes,” making it difficult to decipher how they arrive at specific conclusions or predictions. The significance of XAI … Read more

Introduction to Explainable AI Explainable Artificial Intelligence (XAI) represents a pivotal advancement in the field of machine learning that focuses on enhancing the transparency and interpretability of AI models. As the reliance on AI systems grows across various industries—from healthcare to finance—the need for these models to be understandable is becoming increasingly paramount. Traditional AI … Read more