Decoding AI: The Explainability Imperative For Trust
Navigating the intricate world of Artificial Intelligence (AI) can feel like peering into a black box. We see the input, we get the output, but the 'how' and 'why' often remain shrouded in mystery. This lack of transparency, particularly in critical applications, poses significant challenges. This blog post dives deep into AI Explainability (XAI), exploring its importance, techniques, challenges, and the path towards building trustworthy and understandable AI systems.
Understanding AI Explainability (XAI)
What is AI Explainability?
AI Explainability, often shortened to XAI, refers to the ability to understand and interpret the decisions and predictions made by an AI model. It goes beyond simply observing the output; it aims to illuminate the reasoning process behind that output, allowing u...