AI Explainability: Trusting Algorithms, Unveiling Their Reasoning
Imagine a doctor prescribing medicine without explaining its purpose or potential side effects. Frustrating, right? The same applies to artificial intelligence. As AI systems become increasingly integrated into our lives – from loan applications to medical diagnoses – understanding how they arrive at their decisions is paramount. This understanding, known as AI explainability, is no longer a luxury but a necessity, fostering trust, ensuring fairness, and unlocking the full potential of AI technology.
What is AI Explainability (XAI)?
Defining AI Explainability
AI Explainability, often abbreviated as XAI, refers to the ability to understand and interpret the decision-making processes of artificial intelligence models. It aims to make AI systems more transparent, allowing humans to comprehend...