Explainable AI (XAI)

Explainable AI (XAI) refers to artificial intelligence systems that are designed to make their operations and decision-making processes understandable to humans.AI systems, particularly complex ones like deep learning models, often operate as a 'black box,' making decisions or predictions without a clear, understandable reasoning process. Explainable AI, or XAI, aims to change this by making AI's workings more transparent and interpretable. This involves developing models that can provide clear explanations for their decisions or designing tools that can interpret the decision-making process of existing models. This is crucial in many contexts, like healthcare or finance, where understanding why an AI made a certain decision can be as important as the decision itself. It also helps build trust in AI systems and ensures they can be effectively monitored and regulated.

In summary, XAI is about creating AI systems that can make their internal workings and decision-making processes understandable to humans.