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The black box problem in AI refers to the difficulty in understanding how AI systems and machine learning models process data and generate predictions or decisions. This issue is particularly prevalent in deep learning models like neural networks, which are built upon complex mathematical models and high-dimensional data sets. As AI becomes increasingly integrated into various aspects of our lives, addressing this problem is crucial to ensuring this powerful technology’s responsible and ethical use.