AI Explainability: Why Transparency Matters in Artificial Intelligence
Imagine entrusting critical decisions – from loan applications to medical diagnoses – to a machine. Sounds futuristic, right? Well, it's happening now with Artificial Intelligence (AI). But before we fully embrace this technological revolution, we need to understand how these AI systems arrive at their conclusions. That's where AI explainability comes in, offering a crucial window into the inner workings of these often-opaque algorithms.
What is AI Explainability?
AI explainability, also known as Explainable AI (XAI), is the ability to understand and interpret the decision-making processes of artificial intelligence models. It's not just about knowing that an AI made a particular prediction or recommendation; it's about understanding why it made that choice. This understanding is crucial...