In this session, we will explore the critical role of safeguarding data privacy in the development and deployment of AI-driven software applications. With AI systems increasingly handling sensitive personal information, it is essential to understand the privacy challenges these technologies present. We will discuss how to implement privacy-preserving techniques, including differential privacy, data anonymization, and secure data storage, to protect user information. Through real-world examples and case studies, attendees will gain insights into the practical steps required to balance the innovative capabilities of AI with the necessary safeguards to ensure user trust and regulatory compliance. This session is ideal for anyone working on AI applications who wants to understand how to better safeguard data and respect privacy.