Show HN: I graded 200 AI tools/apps and track any changes in their policies (isittrainingonme.com)

A new project has emerged that evaluates 200 AI tools and apps based on their data usage policies, specifically focusing on how these companies handle user data for training Machine Learning (ML) models. The project reveals that many companies have shifted towards a default training model, where user data is used unless users actively opt-out—often behind a paywall. Of the apps reviewed, about 80 automatically train on user data, 25 offer a toggle to opt-out, while 106 remain ambiguous about their practices. Notably, four applications—DeepL, QuillBot, Recraft, and Zendesk—charge users to stop their data from being used. This effort is significant for the AI/ML community as it highlights a growing trend towards monetizing privacy and raises ethical concerns about user consent. The classification of applications into groups based on their data policies not only assists consumers in making informed choices but also encourages transparency among AI developers. This initiative could lead to a broader conversation about data ethics and user rights in an era where AI is increasingly integrated into everyday applications.