How Explainable AI Techniques Improve Transparency and Accountability?

When a machine learning model makes a life-changing decision like approving a loan or flagging a medical condition, we cannot accept a simple "computer says no" answer. This is where Explainable AI (XAI) steps in, a set of techniques that enable human users to understand and trust the results and outputs of machine learning models. …

LIME vs. SHAP

The computer's powerful AI often gave answers without explaining itself; it was a black box. Two main tools came to help: LIME, the quick detective, provided fast and simple guesses about why the AI made a single decision. Then SHAP arrived, the precise scientist, who used math (game theory) to find the single, most accurate …