+Explainable AI (XAI) is a field dedicated to making artificial intelligence models transparent and their decisions comprehensible to humans. It seeks to illuminate the "black box" nature of complex [Machine Learning](/wiki/machine_learning) systems, fostering trust and enabling critical analysis. By revealing an AI's reasoning, XAI aims to improve reliability and identify biases within [AI systems](/wiki/ai_systems).
+## See also
+- [Artificial Intelligence](/wiki/artificial_intelligence)
+- [AI Ethics](/wiki/ai_ethics)
+- [Deep Learning](/wiki/deep_learning)
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