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Compares explainable AI and blackbox algorithms for business decision support, suggesting implications for transparency and performance.
Integrating Artificial Intelligence into the strategic decision-making of corporations presents unparalleled opportunities for operational efficiency and revenue growth. But enterprise leaders are stuck in a Catch-22 between predictive accuracy and algorithmic transparency. Deep Neural Networks and other state-of-the-art
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DR AJMAL HUSSAIN (2026) studied this question.
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