How Does AI Personalization Use Your Data? What You Can Control

AI personalization tailors chatbot responses and other tools using user preferences and activity history, which can improve usefulness but also raises privacy and security concerns. Pew Research Center reports that half of U.S. adults say AI’s growing role in daily life makes them more concerned than excited, while only 10% are more excited. Better personalization often requires more data, increasing risks like data leaks, unintended exposure of sensitive details, and the possibility of model training. The article explains that tools may infer information beyond what users explicitly share, and threats can include prompt injection and apps requesting excessive permissions. It also outlines practical controls, such as checking settings, opting out of training, using temporary chats, avoiding sensitive details, and reviewing saved memories and app permissions.