How Statistics Enhances AI Model Validation and Testing

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How Statistics Enhances AI Model Validation and Testing

The rapid advancement of artificial intelligence (AI) has fueled the demand for more reliable, interpretable, and accurate model validation techniques. While AI models are often assessed based on their performance on benchmark datasets, statistical rigor is essential to ensure these evaluations are both meaningful and unbiased. Without robust statistical validation, performance differences between models may be attributed to chance rather than a…