What is explainable AI (XAI)?

Explainable AI (XAI) focuses on creating AI systems that can articulate their decision-making processes in a way that is understandable to humans. This is crucial because as AI systems are increasingly utilized in critical areas such as healthcare, finance, and law, stakeholders need to comprehend how decisions are made to ensure trust, accountability, and compliance with ethical norms. By providing clear, interpretable explanations, XAI addresses concerns over the "black box" nature of many AI models, enabling better decision-making and fostering trust among users. Thus, the ability of AI systems to deliver understandable explanations for their actions is fundamental to the concept of explainable AI.