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Explainable AI (XAI) is a new field in machine learning (ML) concentrated on developing models in which their decisions could be interpreted and understood by humans. As machine learning models become more complex and neural networks are described as “black boxes,” understanding how these models make decisions has become a significant challenge.

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Explainability and Interpretability in ML Models

  • 章节

  • 发表日期：

    2026年

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  • Mohammad Reza Mahdiani

摘要

Explainable AI (XAI) is a new field in machine learning (ML) concentrated on developing models in which their decisions could be interpreted and understood by humans. As machine learning models become more complex and neural networks are described as “black boxes,” understanding how these models make decisions has become a significant challenge.