
Introduction The rapid integration of sophisticated artificial intelligence into daily communication platforms has sparked a necessary conversation about the boundaries of digital confidentiality. As tools like Gemini become embedded within the fabric of personal email accounts, users are increasingly questioning whether their most private exchanges are being harvested to improve machine learning models. This investigation explores the structural safeguards Google










