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What is Explainable AI (XAI)?
Explainable AI refers to a set of methods and tools that allow people to understand and trust the results created by machine learning models. Standard AI systems often act as a black box, meaning they provide an answer without showing how they reached it. Explainable AI breaks down these complex calculations into clear, logical steps that a human can review. This process ensures that the logic behind a decision is visible, verifiable, and free from hidden biases, making the technology easier to manage and audit in a professional setting.
Why this matters to you
It is essential for accountability in high-stakes environments. When an AI tool makes a recommendation, you need to be able to justify that choice to clients, regulators, or internal stakeholders. Understanding the reasoning behind an output helps you identify errors and ensures that your business decisions remain fair and compliant with industry standards.
How you might hear this
Our legal department insists on using explainable AI for our hiring software so we can prove that our candidate screening process is fair and unbiased.
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