The vast amounts of data processed by these databases raise significant concerns about how this information is protected and whether the database complies with regulatory requirements.

The quality, quantity, and diversity of training data are crucial for the accuracy and generalization of AI models. Poor or insufficient data can lead to inaccurate models or overfitting, where ...