As artificial intelligence systems become increasingly prevalent in decision-making processes, mathematical literacy emerges as a critical skill for evaluating AI reliability. Many people lack foundational numeracy abilities, making them vulnerable to misinterpreting algorithmic outputs and statistical claims. This knowledge gap creates a significant challenge in the digital era, where understanding probability, data interpretation, and mathematical reasoning is essential to verify whether AI-generated insights are accurate and trustworthy, rather than accepting them at face value.

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