Description
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
Author: Thomas Hardjono
Publisher: MIT Connection Science & Engineering
Published: 11/12/2019
Pages: 400
Binding Type: Paperback
Weight: 1.10lbs
Size: 7.90h x 5.30w x 1.00d
ISBN13: 9780262043212
ISBN10: 0262043211
BISAC Categories:
- Computers | Security | General
- Business & Economics | E-Commerce | General (see also Computers | Electronic Commer
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.