Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
As artificial intelligence revolutionizes the business world, a more subtle but equally powerful force is emerging: intuitive decision-making. Executives increasingly recognize that combining rational ...
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