Explainable AI (XAI): How can Black Box models be transformed into comprehensible intelligence?
SMRTR summary
Explainable AI (XAI) is emerging as a solution to make complex AI systems more transparent and interpretable. XAI aims to bridge the gap between AI decision-making and human understanding, addressing challenges like trust issues, regulatory concerns, and bias detection in various industries including healthcare, finance, and legal sectors.
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