
Apple Intelligence to be trained on anonymized user data on an opt-in basis
Differential Privacy is a concept Apple embraced openly in 2016 with iOS 10. It is a privacy-preserving method of data collection that introduces noise to sample data to prevent the data collectors from figuring out where the data came from.
According to a post on Apple’s machine learning blog, Apple is working to implement Differential Privacy as a method to gather user data to train Apple Intelligence. The data is provided on an opt-in basis, anonymously, and in a way that can’t be traced back to an individual user.