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3071530Trusted Data, revised and expanded editionhttps://www.gandhi.com.mx/trusted-data-revised-and-expanded-edition-9780262356060/phttps://gandhi.vtexassets.com/arquivos/ids/2282920/29f6c413-2d59-4532-87c8-aa79acb2b85a.jpg?v=638383762945530000443615MXNMIT PressInStock/Ebooks/<p><strong>How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data.</strong></p><p><em>Trusted Data</em> describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data. The data is protected by existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted.</p><p><strong>Contributors</strong><br />Michiel Bakker, Yves-Alexandre de Montjoye, Daniel Greenwood, Thomas Hardjoni, Jake Kendall, Cameron Kerry, Bruno Lepri, Alexander Lipton, Takeo Nishikata, Alejandro Noriega-Campero, Nuria Oliver, Alex Pentland, David L. Shrier, Jacopo Staiano, Guy Zyskind</p><p>An MIT Connection Science and Engineering Book</p>...3007877Trusted Data, revised and expanded edition443615https://www.gandhi.com.mx/trusted-data-revised-and-expanded-edition-9780262356060/phttps://gandhi.vtexassets.com/arquivos/ids/2282920/29f6c413-2d59-4532-87c8-aa79acb2b85a.jpg?v=638383762945530000InStockMXN99999DIEbook20199780262356060_W3siaWQiOiIyZjZjZTUyOC03MTVhLTQwNzgtYjA2NC1lOGZlM2ZjZmM4M2QiLCJsaXN0UHJpY2UiOjU5OSwiZGlzY291bnQiOjE2Nywic2VsbGluZ1ByaWNlIjo0MzIsImluY2x1ZGVzVGF4Ijp0cnVlLCJwcmljZVR5cGUiOiJXaG9sZXNhbGUiLCJjdXJyZW5jeSI6Ik1YTiIsImZyb20iOiIyMDI0LTEyLTAxVDAwOjAwOjAwWiIsInJlZ2lvbiI6Ik1YIiwiaXNQcmVvcmRlciI6ZmFsc2V9XQ==9780262356060_<p><strong>How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data.</strong></p><p><em>Trusted Data</em> describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data. The data is protected by existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted.</p><p><strong>Contributors</strong><br />Michiel Bakker, Yves-Alexandre de Montjoye, Daniel Greenwood, Thomas Hardjoni, Jake Kendall, Cameron Kerry, Bruno Lepri, Alexander Lipton, Takeo Nishikata, Alejandro Noriega-Campero, Nuria Oliver, Alex Pentland, David L. Shrier, Jacopo Staiano, Guy Zyskind</p><p>An MIT Connection Science and Engineering Book</p>(*_*)9780262356060_<p><strong>How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data.</strong></p><p><em>Trusted Data</em> describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data. The data is protected by existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted.</p><p><strong>Contributors</strong><br />Michiel Bakker, Yves-Alexandre de Montjoye, Daniel Greenwood, Thomas Hardjoni, Jake Kendall, Cameron Kerry, Bruno Lepri, Alexander Lipton, Takeo Nishikata, Alejandro Noriega-Campero, Nuria Oliver, Alex Pentland, David L. Shrier, Jacopo Staiano, Guy Zyskind</p><p>An MIT Connection Science and Engineering Book</p>...9780262356060_MIT Presslibro_electonico_8b1a2105-2aed-3661-9961-7f08f47d79ae_9780262356060;9780262356060_9780262356060InglésMéxicohttps://getbook.kobo.com/koboid-prod-public/randomhousewh-epub-a9e1df68-f913-4ecd-b74a-a8bd85e39480.epub2019-11-12T00:00:00+00:00MIT Press