Opacity, Big Data, Artificial Intelligence and Machine Learning in Democratic Processes

Abstract

Alvarado provides a detailed examination of different kinds of opacity in algorithms, raising the problems of “many hands” (where to attribute responsibility in complex systems), error assessment, and path complexity. In the process, he offers the reader a demystified understanding of how big data computational methods function and suggests ways in which opacity threatens fundamental elements of the democratic process.