Drawing from interviews with global experts, topic workshops and content research, this scoping paper aims to provide the reader with an understanding of algorithmic decision-making processes and the challenges they pose to our existing understanding of accountability across different contexts. It offers a map of existing technical and governance mechanisms for both identifying and addressing algorithmic harms and bias, as well as a set of recommendations and entry points for the Web Foundation and other stakeholders to contribute to this emerging field most effectively.
- White Paper
Algorithmic accountability – Applying the concept to different country contexts
- July, 2017
Topics
Author(s)
Author(s):
David Sangokoya
Partner Organization(s)
Data Pop Alliance, World Wide Web Foundation
