
The seamless integration of machine learning into our daily digital tools has long been promised as a safeguard for user data, yet the actual implementation often tells a far more complicated story of power and control. While on-device processing is marketed as the ultimate privacy solution, the silent methods of its deployment are creating a new wave of digital mistrust.










