The Politics of Sampling in the Age of Machine Learning

Abstract

In this essay, Eduardo Navas considers the political implications of sampling as a cultural variable in relation to aesthetics and labor in juxtaposition with the emergence of machine learning and artificial intelligence. Navas reflects on how automated and self-training forms of production are reshaping the creative possibilities in music and culture. A key issue that he evaluates is how self-training algorithms are repositioning the creative process as a political trope part of meta-creativity.

Topics & Concepts