Privacy One Pager

Profile photo for Morgan Weisman
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Audiobooks
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Description

Providing an audio version of a privacy one pager for policymakers in DC

Vocal Characteristics

Language

English

Voice Age

Young Adult (18-35)

Accents

North American (General)

Transcript

Note: Transcripts are generated using speech recognition software and may contain errors.
Achieving privacy through innovation. Today, computing no longer happens just on a phone or a laptop. But across your home, in your car, on your wrist and in the cloud helping you wherever you are such computing requires technological innovation to work across complex and different experiences. And it equally demands an evolution of technologies to keep your data safe and private challenges. Keeping data private and safe across multiple environments presents new complex technical challenges. The number of smart devices and information services we all use every day has grown exponentially. Data is constantly flowing between these services presenting new technical challenges to keep it private and safe. Meanwhile, cyber attacks are becoming more sophisticated with bad actors, targeting valuable data and critical infrastructure focus is required at all levels, building privacy architectures that protect data wherever it lives in today's connected world, increased collaboration between organizations, businesses and governments to keep the internet open private and safe for everyone. Our solution at Google, we help keep people safe online by upholding responsible data practices, putting users in control of their information and advancing privacy protections to provide even more helpful experiences without compromising user privacy to help keep the whole ecosystem safe. We open source privacy enhancing technologies. So anyone can freely apply the same protections to their users data upholding responsible data practices. We strictly uphold responsible data practices designed to respect user privacy. Putting users in control of their information, we build easy to use privacy tools so users can choose the experience. That's right for them. Advancing privacy protections, we use advanced technologies to transform how data is processed and open source privacy enhancing technologies learn how we are advancing privacy protections, advancing privacy protections to help keep everyone safe, online protected computing, transforming how data is processed to technically ensure the privacy and safety of your data to power, helpful experiences while protecting your personal information. We recently engineered protected computing. Protective computing is a privacy approach that transforms how data is processed to technically ensure the privacy and safety of your data protected computing helps keep data safe at all times across all environments. Today. Protected computing enables android to suggest the next phrase in your text while keeping your conversation completely private, helps pixel know when to keep your screen awake while continuously deleting ambient signals as they're processed principles of protected computing, minimize the data footprint. Our focus here is on shrinking the amount of personally identifiable data altogether, collecting less and deleting more using techniques like edge processing. And if immorality, if the data doesn't exist, it can't be hacked de identified data from blurring and randomizing identifiable signals to adding statistical noise. A range of techniques can strip your identity from data. So it is not linked to you restrict access to data through technologies like end to end encryption and secure enclaves. This is about making it technically impossible for anyone to access the data industry investments and key milestones were dedicated to building sharing and advancing industry leading privacy technologies that help keep users safe and push the industry forward. 2010 differential privacy first used in a Google product 2016, Google Invents Federated Learning Technology. 2019 Tensor flow Federated open source project launched private join and compute and differential privacy. Open source libraries launched 2021 Androids private compute core launches fully home. A more fick encryption transpire killer launches 2022 Google launches protected computing differential privacy available in Python. 2023 Privacy Sandbox launches explore how Google helps keep everyone safe online at safety dot Google.