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Description:
Imagine AI is like a really smart computer helper that can make decisions.
Sometimes, these helpers make decisions that seem mysterious, like they're working inside a "black box" you can't see into. AI transparency and Explainable AI (XAI) are about opening up that box so we can understand how the AI made its decision. It's like making the AI show its work, just like you do in math class.
Why is this important? It helps people trust AI.
When you understand how the AI decided, you're less worried it's being unfair, has hidden mistakes, or is biased. This is super important in places where AI makes big decisions that affect people's lives, like in hospitals (healthcare) or when people are applying for loans (finance). Because trust is so important, rules are being made around the world. For example, a big new set of rules in Europe called the EU AI Act started in August 2024.
These rules say that AI systems that are important or "high-risk" must be designed so users can understand them and get clear information.
They even require things created by AI, like very realistic fake videos (sometimes called deep fakes), to be labeled so you know they weren't made by a person.
It can sometimes be a bit tricky to explain how the most powerful AI works, but scientists and developers are constantly working on new ways to make AI more understandable. The goal is to make AI both powerful and something we can feel good about using
Join Us | Newsletter : https://buymeacoffee.com/marlonbonajos/membership
Try this | 7 Days Challenge : https://tinyurl.com/7-Days-Challenge
Description:
Imagine AI is like a really smart computer helper that can make decisions.
Sometimes, these helpers make decisions that seem mysterious, like they're working inside a "black box" you can't see into. AI transparency and Explainable AI (XAI) are about opening up that box so we can understand how the AI made its decision. It's like making the AI show its work, just like you do in math class.
Why is this important? It helps people trust AI.
When you understand how the AI decided, you're less worried it's being unfair, has hidden mistakes, or is biased. This is super important in places where AI makes big decisions that affect people's lives, like in hospitals (healthcare) or when people are applying for loans (finance). Because trust is so important, rules are being made around the world. For example, a big new set of rules in Europe called the EU AI Act started in August 2024.
These rules say that AI systems that are important or "high-risk" must be designed so users can understand them and get clear information.
They even require things created by AI, like very realistic fake videos (sometimes called deep fakes), to be labeled so you know they weren't made by a person.
It can sometimes be a bit tricky to explain how the most powerful AI works, but scientists and developers are constantly working on new ways to make AI more understandable. The goal is to make AI both powerful and something we can feel good about using