Tag: AI Transparency:

Imagine entrusting critical decisions – from loan applications to medical diagnoses – to a machine. Exciting, right? But what happens when that machine denies a loan or suggests a treatment plan, and you have no idea why? That's where AI explainability comes in. In a world increasingly shaped by artificial intelligence, understanding how these systems arrive at their conclusions is no longer optional; it's crucial for building trust, ensuring fairness, and unlocking the full potential of AI. What is AI Explainability (XAI)? Defining Explainable AI AI explainability, often shortened to XAI, refers to the ability to understand and interpret the decisions made by artificial intelligence models. It goes beyond simply knowing the outcome and delves into the reasons behind that outcome. It's...