Maintaining data privacy in machine learning is significant because it ensures the protection of sensitive personal information and complies with legal regulations such as GDPR. Ethical handling of data fosters trust between users and organizations, enabling more effective data collection and usage. Additionally, implementing privacy measures, like anonymization, helps prevent unauthorized access and misuse, ultimately supporting the responsible development of AI systems.