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E-grāmata: Trusted Data, revised and expanded edition

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Edited by , Edited by (Massachusetts Institute of Technology), Edited by (MIT)
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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.

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.

Contributors
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

1 ARCHITECTURE
1 Trust in Digital Societies
3(12)
Alex Pentland
2 Towards an Internet of Trusted Data
15(26)
Alex Pentland
David L. Shrier
Thomas Hardjono
Irving Wladawsky-Berger
3 Core Identities for Future Transaction Systems
41(42)
Thomas Hardjono
David L. Shrier
Alex Pentland
4 Mit Open Algorithms
83(26)
Thomas Hardjono
Alex Pentland
5 Building a Data-Rich Society
109(20)
Alex Pentland
II POLICY
6 The New Deal on Data
129(26)
Daniel "Dazza" Greenwood
Arkadiusz Stopczynski
Brian Sweatt
Thomas Hardjono
Alex Pentland
7 The Rise of Decentralized Personal Data Markets
155(12)
Jacopo Staiano
Guy Zyskind
Bruno Lepri
Nuria Oliver
Alex Pentland
8 Enabling Humanitarian Use of Mobile Phone Data
167(14)
Yves-Alexandre de Montjoye
Jake Kendall
Cameron F. Kerry
9 Living Labs for Trusted Data
181(14)
David L. Shrier
Alex Pentland
III CURRENT
10 Active Fairness in Algorithmic Decision-Making
195(22)
Alejandro Noriega-Campero
Michiel Bakker
Bernardo Garcia-Bulle
Alex Pentland
11 Beyond Gdpr: Employing Al to Make Personal Data Useful to Consumers
217(10)
David L. Shrier
12 Social Capital Accounting
227(12)
Takeo Nishikata
Thomas Hardjono
Alex Pentland
13 Tradecoin: Towards A More Stable Digital Currency
239(32)
Alexander Lipton
Thomas Hardjono
Alex Pentland
Appendix A Personal Data: The Emergence of a New Asset Class 271(52)
Appendix B A World that Counts: Mobilising the Data Revolution for Sustainable Development 323(48)
Contributor Biographies 371(10)
Index 381
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 Saļd 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.
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