22 Sources
[1]
Apple details how it plans to improve its AI models by privately analyzing user data | TechCrunch
In the wake of criticism over the underwhelming performance of its AI products, especially in areas like notification summaries, Apple on Monday detailed how it is trying to improve its AI models by analyzing user data privately with the aid of synthetic data. Using an approach called
[2]
How Apple Will Analyze Your Data to Train Its AI (While Protecting Your Privacy)
Samantha Kelly is a freelance writer with a focus on consumer technology, AI, social media, Big Tech, emerging trends and how they impact our everyday lives. Her work has been featured on CNN, NBC, NPR, the BBC, Mashable and more. Apple said it will begin analyzing on-device user data as part of a
[3]
Apple's complicated plan to improve its AI while protecting privacy
Emma Roth is a news writer who covers the streaming wars, consumer tech, crypto, social media, and much more. Previously, she was a writer and editor at MUO. Apple says it's found a way to make its AI models better without training on its users' data or even copying it from their iPhones and Macs.
[4]
How Apple plans to train its AI on your data without sacrificing your privacy
Most AI providers try to enhance their products by training them with both public information and user data. However, the latter method puts a privacy-conscious company like Apple in a difficult position. How can it improve its Apple Intelligence technology without compromising the privacy of its
[5]
Apple's Going to Take a Peek at Your On-Device Data to Improve Its AI
How do you improve your AI without scraping tons of personal data? Apple's approach, at least for text generation, is using a combination of "synthetic data" and on-device messages. To get access to those on-device messages, however, Apple needs permission, so it will use data from those who have
[6]
Apple will use made-up emails to train its AI
Apple, having starved its AI models of data by respecting customer privacy, plans to improve its chatbot suggestions by using made-up emails. The iGiant says it will soon start using synthetic data - that is, data generated by computers instead of actual humans - to improve email summaries
[7]
Apple to analyze on-device data for AI training, vows to uphold user privacy
A hot potato: The idea of Apple analyzing data from users' devices to train its AI models isn't going to be welcomed by most people. Nevertheless, the company is taking this action as it looks to improve its Apple Intelligence services. However, Cupertino says its unique approach to this process
[8]
Apple details on-device Apple Intelligence training system using user data - 9to5Mac
Last month, Apple delayed the rollout of its more personal and powerful Siri features. As it looks to right the ship for future Apple Intelligence updates, Bloomberg highlights a shift that Apple is making in how it trains its artificial intelligence models. The report highlights a blog post from
[9]
Here's How Apple is Working to Improve Apple Intelligence
With its uncompromising focus on user privacy, Apple has faced challenges collecting enough data to train the large language models that power Apple Intelligence features and that will ultimately improve Siri. To improve Apple Intelligence, Apple has to come up with privacy preserving options for
[10]
How will Apple improve its AI while protecting your privacy?
Apple uses Differential Privacy to learn trends about how its user base is using AI. With all the problems we've heard about Apple Intelligence lately-delayed Siri improvements, bad news notification summaries, unimpressive image generation, and more-you might wonder what Apple is planning to do
[11]
Apple will soon train Apple Intelligence on select user data -- here's what you need to know
Apple has recently confirmed how it will start to use certain user data to help train its Apple Intelligence models. There's little doubt that Apple Intelligence has had a few issues lately, including delaying its Siri 2.0 feature launch. To help avoid similar issues in the future, Apple is
[12]
Apple has a plan for improving Apple Intelligence, but it needs your help - and your data
Apple Intelligence has not had the best year so far, but if you think Apple is giving up, you're wrong. It has big plans and is moving forward with new model training strategies that could vastly improve its AI performance. However, the changes do involve a closer look at your data - if you
[13]
On-device Apple Intelligence training methods seem to be based on a controversial technology
Apple Intelligence to be trained on anonymized user data on an opt-in basis On Monday, Apple shared its plans to allow users to opt into on-device Apple Intelligence training using Differential Privacy techniques that are incredibly similar to its failed CSAM detection system. Differential
[14]
Apple hopes your emails will fix its misfiring AI
Table of Contents Table of Contents A brief summary of AI training How is Apple planning to fix its AI? Why is it a crucial step forward? Apple's AI efforts haven't made the same kind of impact as Google's Gemini, Microsoft Copilot, or OpenAI's ChatGPT. The company's AI stack, dubbed Apple
[15]
How Apple Plans to Improve Its AI Models While Protecting User Privacy
Even the most loyal Apple users will admit that the company is lagging behind when it comes to AI, with Siri's big Apple Intelligence upgrade now officially delayed (having been heavily promoted throughout last year). In a new blog post, Apple outlines some of the ways it's hoping to get back on
[16]
New Training Methods to Save Apple Intelligence? | AIM Media House
On the company's Machine Learning Research blog, Apple outlined new privacy-preserving training methods to enhance its suite of AI features. Apple is introducing new methods to train and improve the performance of its Apple Intelligence features, the company announced in a blog post on
[17]
Apple Is Analysing User Data Patterns to Improve Its AI Features
Apple is developing new techniques to analyse user data patterns and aggregated insights to improve its artificial intelligence (AI) features. The Cupertino-based tech giant shared these differential privacy techniques on Monday, highlighting that these methods will not breach users' privacy.
[18]
Apple Uses New Tech That Compares Synthetic Data With Real Emails To Train AI Models, Then Applies Embeddings And Privacy Tools To Improve Text Output Quality
Apple was supposed to release its highly anticipated Personalized Siri feature last month with the release of iOS 18.4. Still, it was later confirmed that the new utility would be delayed until next year. A new report has emerged that shares details on how Apple trains its AI models with reference
[19]
Apple to Tap User Data for LLM Training | PYMNTS.com
Apple is planning to analyze user data to improve its large language model (LLM) software while upholding user privacy. The company has been using synthetic data to train its artificial intelligence (AI) models but has found that method to be ineffective, Apple wrote in a Monday (April 14) blog
[20]
How Apple Plans to Improve AI Using Synthetic User Data
Apple intends to improve the functioning of its artificial intelligence (AI) models by comparing the synthetic data it trains its models on to real-life data samples from its users, the company announced in a recent blog post. Synthetic data is data created to mimic the format and important
[21]
No, Apple Intelligence won't be trained with your data: This is the system Apple will use to improve its AI - Softonic
Apple is taking a different approach from many tech giants when it comes to training its artificial intelligence. Instead of using your personal data directly, the company has designed a system that uses synthetic content while still capturing real-world trends. The goal is clear: to improve Apple
[22]
Your iPhone will now training Apple's AI, here's how it works
Apple is now adopting a new strategy to train its AI models while upholding its strong privacy commitments in order to enhance the AI-backed features. The company is altering how it uses artificial intelligence (AI) to improve tools like Siri and email summarisation in future software updates,
Share
Copy Link
Apple unveils a new strategy to enhance its AI models using synthetic data and differential privacy, aiming to improve features like email summaries while protecting user privacy.

Apple has unveiled an innovative approach to improve its AI models while maintaining its commitment to user privacy. The tech giant plans to use a combination of synthetic data and differential privacy to enhance its AI capabilities, particularly in areas like email summarization and other Apple Intelligence features
1
.At the core of Apple's strategy is the use of synthetic data, which mimics the format and properties of real user data without containing any actual user-generated content. This approach allows Apple to create a large set of artificial messages on various topics, which are then converted into "embeddings" - numerical summaries capturing attributes such as topic and length
2
.To refine its synthetic data, Apple will employ differential privacy techniques. The company will send embeddings to a small number of user devices that have opted into the Device Analytics program. These devices will compare the synthetic embeddings with a sample of the user's actual emails, determining which synthetic data most closely matches real-world content
3
.Apple emphasizes that this process is designed to protect user privacy. The actual content of user emails never leaves the device or is shared with Apple. Instead, the devices only send signals indicating which synthetic embeddings are closest to the sampled data
4
.This new approach is expected to improve various Apple Intelligence features, including:
Related Stories
Apple plans to introduce this AI training system in beta versions of iOS and iPadOS 18.5 and macOS 15.5. Users can control their participation in Device Analytics through their device settings
5
.This move comes as Apple faces criticism over the performance of its AI products, particularly in comparison to competitors like OpenAI, Google, and Microsoft. While these rivals often train their AI models on user data, Apple's privacy-focused approach presents unique challenges in improving AI performance
1
.Jason Hong, a computer science professor at Carnegie Mellon University, commends Apple's approach, stating that the company "should be applauded for putting their customers' privacy first." However, he also notes that this method may result in trade-offs, potentially affecting the effectiveness of Apple's AI compared to competitors
2
.Summarized by
Navi
[1]
20 Oct 2024•Technology

08 Jun 2026•Technology

22 Jul 2025•Technology

1
Technology

2
Technology

3
Policy and Regulation
