AI for Everyone: Understanding AI Decision-Making Process
How Explainable AI (XAI) Reveals the Hidden Logic Behind AI Decision-Making
Welcome to the next part of the ‘AI for Everyone’ series, where I attempt to explain complex AI concepts in easy-to-understand language so that everyone can understand AI in this new AI age. When you know something, you make better decisions. Your feedback will help me refine this series, so share your thoughts on making AI accessible to all!
Read this to get familiar with basic terminology for AI: AI for Everyone: Learn the Basic AI Lingo and Join the Conversation.
This article explores how AI makes decisions so that it is no longer a black box where you input your data, and AI magically comes out with some answers. The technique for explaining and interpreting the inner workings of AI systems is called Explainable AI (XAI).
You applied for a loan at your bank, and the loan was rejected. You asked the bank to explain the reason why your loan was rejected? The bank says that its loan approval system, which uses AI, rejected it. They have been using the AI system for loan approval for quite some time, and no one has had any issues until now. The bank’s AI system does not explain the reasons for loan approval or rejection and seems like a “black…
