Explainable AI
AI decisions can feel like a mystery, Explainable AI (XAI) seeks to make these systems more transparent, offering clear reasons behind their choices. ✨
Artificial intelligence (AI) often feels like a mysterious black box.
It makes decisions, but how it arrives at those decisions can be mysterious, even for experts. This is where Explainable AI (XAI) steps in — a form of AI that doesn’t just give you an answer but also explains how it got there.
Imagine this: You’re applying for a loan. An AI decides whether you’re approved or denied based on your financial history, credit score, and other factors. But when your loan is denied, you get no explanation. It just says, “No.” Frustrating, right?
Explainable AI would, in this scenario, not only give you a decision but also show you why your loan was denied. For example, it might say: “Your loan was denied because your credit score is below 700 and your debt-to-income ratio is too high.” It’s all about giving clarity to the decision-making process.
What Exactly is Explainable AI?
In simple terms, Explainable AI means creating AI systems that can be understood by humans. AI often works like magic behind the scenes — data goes in…
