+**Explainability** is the ability to interpret *how* an [AI](/wiki/ai) system arrived at a particular decision or prediction. It seeks to make complex models, especially in [Machine Learning](/wiki/machine_learning), transparent and understandable to humans, fostering trust and accountability.
+## See also
+- [AI Ethics](/wiki/ai_ethics)
+- [Interpretability](/wiki/interpretability)
+- [Trust](/wiki/trust)
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