Apple leans on synthetic data to upgrade AI privately

Apple takes a new approach to training artificial intelligence models – those that avoid collecting user content or copying from iPhone or MACS devices.

According to the recent publication of the blog, the company plans to continue to rely on artificial data (built data that is used to imitate user behavior) and differential privacy to improve features such as email summaries, without accessing emails or personal messages.

For users who choose the Apple hardware analysis program, you will compare the company’s AI models messages that resemble e -mail versus a small sample of the real user content locally stored on the device. The device then determines any of the artificial messages that match the user sample more closely, and sends information about the specified match to the Apple. There is no actual user data that leaves the device, and Apple says it only receives assembled information.

This Apple technology will allow its models to improve the tasks of generating long texts without collecting real user content. It is an extension of the company’s long -term use of differential privacy, which provides random data in broader data groups to help protect individual identities. Apple has used this method since 2016 to understand the patterns of use, in line with the company’s protection policies.

Improving Genmoji and other Apple Intelligence features

The company already uses differential privacy to improve features such as Genmoji, as it collects general trends about the most common claims without connecting any orientation to a specific user or device. In upcoming versions, Apple plans to apply similar ways to other Apple intelligence features, including photo stadium, photo stick, memories creation, and writing tools.

For Genmoji, unknown opinion polls sharing devices in the company to determine whether specific fast fragments have been seen. Each device responds with a noisy sign – some responses reflect actual use, while others are chosen. The company says this approach ensures that the terms that are widely used only become visible to Apple, and no individual response can be returned to a user or device.

Artificial data format for better email summaries

Although the above method has worked well in terms of short demands, Apple needs a new approach to more complex tasks such as summarizing emails. For this, Apple creates thousands of sample messages, and these artificial messages are converted into numerical representations, or “inclusion”, based on language, tone and subject. Participating user devices and then compare the joints with locally stored samples. Once again, the specified match is shared only, not the same content.

Apple collects the most specific artificial inclusion of the participating devices and uses them to improve their training data. Over time, this process allows the system to create more relevant and realistic email messages, helping Apple to improve its AI’s outputs to summarize and generate texts without a clear compromise of the user’s privacy.

Available in beta

Apple develops the system in beta versions of iOS 18.5, iPados 18.5 and MacOS 15.5. According to Mark Gorman from Bloomberg, Apple is trying to face challenges by developing artificial intelligence in this way, the problems that included the postponement of features and the repercussions of changes in the Siri team.

Whether his approach will lead to more useful artificial intelligence outputs in practice, but it indicates a clear general effort to balance the user’s privacy with the performance of the model.

(Photo by Unsplash)

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