Trusted Data, revised and expanded edition:A New Framework for Identity and Data Sharing

Trusted Data, revised and expanded edition:A New Framework for Identity and Data Sharing (MIT Connection Science & Engineering)
November 12, 2019
Author:Thomas Hardjono ,David L. Shrier,Alex Pentland
Publisher Finelybook 出版社:MIT Connection Science & Engineering; revised and expanded edition (November 12, 2019)
Language 语言:English
pages 页数:400 pages
ISBN-10 书号:0262043211
ISBN-13 书号:9780262043212

Book Description
How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data.
Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. Author: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 Author:allowing insights to be extracted from data held Author: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 Author:existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted


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