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The Rise of Explainable AI: Unlocking Transparency in Machine Learning
The Need for Transparency in AI Decision-Making As machine learning models become increasingly ubiquitous in high-stakes decision-making applications, concerns about their lack of transparency have grown. The opacity of AI-driven predictions and recommendations can lead to mistrust among users, making it difficult to identify biases, errors, or adverse consequences. For instance, a study by ProPublica…
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The Rise of Explainable AI: Democratizing AI Decision-Making
The Need for Explainable AI: A Growing Concern in Decision-Making The increasing reliance on artificial intelligence (AI) and machine learning (ML) in high-stakes decision-making processes has sparked a pressing concern: the lack of transparency and explainability in AI-driven outcomes. As AI systems become more pervasive in industries such as finance, healthcare, and transportation, the need…