In the rush to integrate AI features, developers must prioritize privacy safeguards to prevent breaches and build trust among users. Key measures include embedding privacy by design principles from the outset, minimizing and anonymizing data collection, and preferring on-device AI models to reduce risks associated with data transit and storage. Strict data retention policies should be implemented to prevent data accumulation, while transparency and user control are essential for earning user trust. Compliance with regulations such as GDPR and the European Union's AI Act is crucial, alongside fostering a culture of ethical AI use and secure coding practices. Rigorous testing and continuous monitoring of AI systems are necessary to counter potential security threats. By adhering to these practices, developers can leverage AI in mobile development while ensuring user privacy and regulatory compliance in an evolving digital environment.