ai testing

AI testing refers to the process of evaluating and validating artificial intelligence systems to ensure they function correctly, reliably, and ethically. It involves assessing aspects such as model accuracy, bias, robustness, interpretability, and performance under different scenarios. AI testing can include techniques like data validation, model verification, simulation testing, and continuous monitoring to identify errors or unintended behaviors in AI models.