AI performance reliability 2

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AI performance reliability matters because even advanced systems can make inconsistent decisions under real-world conditions. Factors like data quality, model drift, and unexpected inputs can all impact how well an AI behaves over time. Ensuring consistent performance means continuously monitoring outputs, updating models, and testing across diverse scenarios so that the technology remains accurate and trustworthy in practice, especially when lives or big decisions depend on it.