
Decoding AI: Making Black Boxes Transparent
Imagine trusting a doctor who prescribes medicine without explaining why it works or how it will help. That's essentially what it's like using complex Artificial Intelligence (AI) models without understanding their decision-making process. In today's rapidly evolving AI landscape, the concept of "AI explainability" is paramount. It's no longer enough for an AI to simply perform a task; we need to understand how it arrived at its conclusions. This blog post delves into the crucial aspects of AI explainability, exploring its importance, methods, challenges, and its transformative potential across various industries.
What is AI Explainability (XAI)?
Defining Explainable AI
AI explainability, often shortened to XAI, refers to the ability to understand and interpret the decision-making processe...