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Privacy Security


about_us


Your privacy is important to us. This privacy statement explains the personal data Microsoft processes, how Microsoft processes it, and for what purposes. Microsoft offers a wide range of products, including server products used to help operate enterprises worldwide, devices you use in your home, software that students use at school, and services developers use to create and host what’s next. References to Microsoft products in this statement include Microsoft services, websites, apps, software, servers, and devices. Please read the product-specific details in this privacy statement, which provide additional relevant information. This statement applies to the interactions Microsoft has with you and the Microsoft products listed below, as well as other Microsoft products that display this statement. We also use the data to operate our business, which includes analyzing our performance, meeting our legal obligations, developing our workforce, and doing research. In carrying out these purposes, we combine data we collect from different contexts (for example, from your use of two Microsoft products) or obtain from third parties to give you a more seamless, consistent, and personalized experience, to make informed business decisions, and for other legitimate purposes. Our processing of personal data for these purposes includes both automated and manual (human) methods of processing. Our automated methods often are related to and supported by our manual methods. For example, our automated methods include artificial intelligence (AI), which we think of as a set of technologies that enable computers to perceive, learn, reason, and assist in decision-making to solve problems in ways that are similar to what people do. To build, train, and improve the accuracy of our automated methods of processing (including AI), we manually review some of the predictions and inferences produced by the automated methods against the underlying data from which the predictions and inferences were made. For example, we manually review short snippets of a small sampling of voice data we have taken steps to de-identify to improve our speech services, such as recognition and translation.