Artificial Intelligence (AI) is like that one friend who always seems to know more than you do, but can't really explain why. It's all like, "Trust me, I just know." And you're all, "Okay, buddy, but like, how did you even figure that out?" And it's all, "Uh, I just did, I guess."
Explainability in AI is like trying to get that friend to actually tell you how they figured it out. It's about being able to say, "Here's how I arrived at this conclusion, and let me show you the math." But, you know, without the math, because, let's be real, nobody likes math.
So, the importance of explainability in AI is like, have you ever wondered how Siri knows you're talking about the weather, but not actually about the weather?
Want to know more about how explainability is like trying to get a friend to spill the beans? Check out our Explainability is like page.
Or, if you're just really into math, go check out our Explainability is math page. We have some sweet, sweet equations for you to scroll through.
Or, you know, if you just want to pretend to be interested in explainability, go check out our Explainability is pretend page.