Explainable AI: Making Machine Learning Decisions Transparent
Introduction
AI (AI), along with Machine Learning (ML), is revolutionizing the business world by automating complicated processes, recognizing trends, and providing valuable insight.
However, one of the major problems companies face is understanding the way AI models come to their conclusions. This is when the concept of Explainable AI (XAI) is introduced so that AI-driven choices are clear, easy to comprehend, and trustworthy.
What is Explainable AI?
Explainable AI is the term used to describe techniques and methods that make the outputs from machine learning models understandable to humans. Contrary to the traditional “black-box” AI, where the decisions are made without discernible reasoning, XAI offers details of how and why the precise predictions or decisi...
