The advancement in AI services demands privacy-preserving mechanisms, especially for applications that operate across various devices like mobiles and customer service systems. These services include personalized recommendations, user behavior analysis, and enhanced user experience without compromising user privacy. The aim is to deliver sophisticated AI features while adhering to strict privacy standards.
Cross-device AI applications typically require the aggregation and analysis of sensitive user data, such as personal preferences, behavior patterns, and communication content. This data is often subject to privacy regulations like GDPR, necessitating strict controls on data sharing and processing. The challenge is to leverage this data for AI without violating privacy norms or exposing sensitive information.