From the course: Data Ethics: Making Data-Driven Decisions

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Open the box with Explainable AI (XAI)

Open the box with Explainable AI (XAI)

From the course: Data Ethics: Making Data-Driven Decisions

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Open the box with Explainable AI (XAI)

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- One of the biggest challenges with decision traceability is dealing with the mystery of the machine learning black box. Machine learning algorithms are designed to see patterns that are nearly impossible for humans to understand. These algorithms are used to make decisions all the time, and not knowing exactly how these decisions are made creates this black box problem. These black box decisions make it very difficult to enforce a right of explanation. If you can't understand how the machine made the decision, then there's no way to explain that decision to someone else. That's why over the last few years, there's been a big push to start adopting explainable artificial intelligence or XAI. These systems put the human in the loop when making decisions with machine learning algorithms. These systems design algorithms that can be explained by human expert. XAI emphasizes, fairness, accountability and…

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