The implementation of machine learning models in e-commerce has led to a significant increase in sales and customer satisfaction. However, the deployment of these models also raised concerns about data privacy and bias in the algorithm. As a result, companies are now implementing more robust methods to mitigate these concerns, such as using differential privacy techniques and regular auditing of the models.