Open Algorithms for Identity Federation
Name
1705.10880.pdf
Description
Submitted version
Size
899.65 KB
Format
Unknown
Checksum (MD5)
de63898c13eed22a2d55cf17940d37bf
Author(s)
Hardjono, Thomas
Pentland, Alex Paul
Date Issued
December 2018
Publisher
Springer International Publishing
Citation
Hardjono, Thomas and Pentland, Alex. 2018. "Open Algorithms for Identity Federation."
Version
Original manuscript
Abstract
© 2019, Springer Nature Switzerland AG. The identity problem today is a data-sharing problem. Today the fixed attributes approach adopted by the consumer identity management industry provides only limited information about an individual, and therefore, is of limited value to the service providers and other participants in the identity ecosystem. This paper proposes the use of the Open Algorithms (OPAL) paradigm to address the increasing need for individuals and organizations to share data in a privacy-preserving manner. Instead of exchanging static or fixed attributes, participants in the ecosystem will be able to obtain better insight through a collective sharing of algorithms, governed through a trust network. Algorithms for specific datasets must be vetted to be privacy-preserving, fair and free from bias.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/978-3-030-03405-4_3
