A significant concern is coming to light regarding how modern AI platforms handle the vast amounts of personal information users entrust to them. It is becoming clear that a widespread practice involves these systems choosing to share collected data with various third parties.
This sharing mechanism fundamentally impacts user control. When data moves beyond the direct interaction between the user and the platform, individuals lose visibility and agency over where their information goes, how it is used, and by whom. The initial expectation of privacy and direct interaction is undermined when third parties gain access to sensitive details.
The implications of this loss of user control are substantial, particularly concerning privacy and security. Increased data dispersal raises the risk of breaches, misuse, or unwanted tracking by entities the user never intended to interact with. Understanding these data flows and the destinations of personal information is becoming crucial for anyone using these powerful tools. It highlights a growing need for greater transparency from platforms about their data sharing policies and a deeper awareness among users about the digital footprint they are creating.
Source: https://www.helpnetsecurity.com/2025/06/25/ai-platforms-data-sharing/
