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

Paperback(revised and expanded edition)

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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. 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.

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

An MIT Connection Science and Engineering Book

Product Details

ISBN-13: 9780262043212
Publisher: MIT Press
Publication date: 11/12/2019
Series: MIT Connection Science & Engineering
Edition description: revised and expanded edition
Pages: 400
Product dimensions: 5.44(w) x 8.00(h) x 0.94(d)
Age Range: 18 Years

About the Author

Thomas Hardjono is the CTO of MIT Connection Science and Engineering and Technical Director for the Internet Trust Consortium under MIT Connection Science.

David L. Shrier holds a dual appointment as a Lecturer at the MIT Media Lab and an Associate Fellow at the Saïd Business School at the University of Oxford. He is coeditor of New Solutions for Cybersecurity (MIT Press).

Alex Pentland holds a triple appointment at MIT in the Media Lab (SA+P), School of Engineering, and Sloan School of Management. He directs MIT's Connection Science initiative, the Human Dynamics Laboratory, and the MIT Media Lab Entrepreneurship Program. He is the author of Honest Signals: How They Shape Our World and coeditor of New Solutions for Cybersecurity (both published by the MIT Press). One of the most-cited computer scientists in the world, with international awards in the Arts, Sciences, and Engineering, he was chosen by Newsweek as one of the 100 Americans likely to shape this century.

What People are Saying About This

From the Publisher

Building trust is one of the most pressing issues of our time, and an increasingly important part of long-term business success. Trusted Data sets out the framework to build trust in the digital age—a must read for anyone looking to capture sustainable value in the information economy.

Greg Medcraft , Director for Financial and Enterprise Affairs, Organisation for Economic Co-operation and Development (OECD)

For too long, we have had to accept compromising our data and privacy for digital interactions. This needs to stop. Trusted Data takes a close look at the architecture and policy required for trusted interactions. It is required reading for everyone who cares about their personal data and how it's shared.

Ajay Bhalla , President, Cyber and Intelligence Solutions, Mastercard; Connection Science Fellow, MIT

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