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Apple To Analyze User Data on Devices To Bolster AI Technology
Apple is planning to analyze data on customers' devices to improve its AI platform while ensuring user information remains private. Currently, Apple uses synthetic data to train AI models, but this data doesn't always accurately represent real-world inputs. The new approach aims to address this issue by comparing synthetic data to actual user data on devices, without directly using the user data to train AI models. This will help Apple catch up with competitors like OpenAI and Alphabet, which have fewer privacy restrictions. The technology works by comparing synthetic data to a sample of user emails on iPhone, iPad, and Mac email apps. This comparison helps Apple determine which synthetic data is most similar to real-world messages. The user data remains on the device and is not sent to Apple's servers. The goal is to improve Apple's AI systems, which currently struggle to work properly due to the limitations of synthetic data. By using actual user data to refine its synthetic data, Apple can create more accurate AI models. This approach is designed to balance the need for improved AI with the need to protect user privacy.