+Interpretability is the degree to which a human can understand the cause of a [Machine Learning](/wiki/Machine_Learning) model's decision. It seeks to make complex systems, such as [Neural Networks](/wiki/Neural_Networks), transparent, fostering trust and enabling ethical design. This field is crucial for deploying AI responsibly and safely.
+## See also
+- [Explainable AI](/wiki/Explainable_AI)
+- [Trust](/wiki/Trust)
+- [Bias](/wiki/Bias)
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