AI and data privacy are often at odds, making this session essential for addressing ethical and legal challenges. It delves into AI methodologies for protecting user data, including differential privacy, homomorphic encryption, and federated learning. Experts will discuss strategies for balancing AI innovation with stringent privacy requirements to ensure compliance with global regulations.