Apple is addressing criticism regarding its AI products by improving its models through the use of synthetic data, a process leveraging differential privacy. This approach generates data that mimics actual user data while preserving privacy. Users can voluntarily share data for analysis, allowing Apple to refine its AI capabilities, especially in notification summaries and other features like Genmoji. Future applications of this method will include tools for image processing and email enhancements, as Apple aims to boost the effectiveness of its AI offerings without compromising user privacy.
Synthetic data are created to mimic the format and important properties of user data, but do not contain any actual user generated content.
We then derive a representation, called an embedding, of each synthetic message that captures some of the key dimensions of the message like language, topic, and length.
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