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Private AI For All: Our End-To-End Approach to AI Privacy on Android
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<blockquote data-quote="oldschool" data-source="post: 1098439" data-attributes="member: 71262"><p>Your smartphone holds a lot of your personal information to help you get things done every day. On Android, we are seamlessly integrating the latest artificial intelligence (AI) capabilities, like Gemini as a trusted assistant – capable of handling life's essential tasks. As such, ensuring your privacy and security on Android is paramount. As a pioneer in responsible AI and cutting-edge privacy technologies like <a href="https://security.googleblog.com/2022/12/trust-in-transparency-private-compute.html" target="_blank">Private Compute Core</a> and <a href="https://research.google/blog/federated-learning-collaborative-machine-learning-without-centralized-training-data/" target="_blank">federated learning</a>, we made sure our approach to the assistant experience with Gemini on Android is aligned with our existing <a href="https://safety.google/cybersecurity-advancements/saif/" target="_blank">Secure AI framework</a>, <a href="https://ai.google/responsibility/principles/" target="_blank">AI Principles</a> and <a href="https://safety.google/principles/" target="_blank">Privacy Principles</a>.</p><p></p><p><strong><em>Posted by Dave Kleidermacher, VP Engineering, Android Security and Privacy, and Giles Hogben, Senior Director, Privacy Engineering, Android</em></strong></p></blockquote><p></p>
[QUOTE="oldschool, post: 1098439, member: 71262"] Your smartphone holds a lot of your personal information to help you get things done every day. On Android, we are seamlessly integrating the latest artificial intelligence (AI) capabilities, like Gemini as a trusted assistant – capable of handling life's essential tasks. As such, ensuring your privacy and security on Android is paramount. As a pioneer in responsible AI and cutting-edge privacy technologies like [URL='https://security.googleblog.com/2022/12/trust-in-transparency-private-compute.html']Private Compute Core[/URL] and [URL='https://research.google/blog/federated-learning-collaborative-machine-learning-without-centralized-training-data/']federated learning[/URL], we made sure our approach to the assistant experience with Gemini on Android is aligned with our existing [URL='https://safety.google/cybersecurity-advancements/saif/']Secure AI framework[/URL], [URL='https://ai.google/responsibility/principles/']AI Principles[/URL] and [URL='https://safety.google/principles/']Privacy Principles[/URL]. [B][I]Posted by Dave Kleidermacher, VP Engineering, Android Security and Privacy, and Giles Hogben, Senior Director, Privacy Engineering, Android[/I][/B] [/QUOTE]
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