Illuminating the Black Box: Explainable AI and Algorithmic Transparency

As artificial intelligence (AI) systems take on more meaningful and consequential roles in health, justice, and civic life, there is a growing need to build interpretability and transparency into their decision making. Most modern machine learning models act as “black boxes”, with complex internal logic that defies simple explanation. Explainable AI (XAI) techniques bridge this …

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