Uncovering the Politics Behind Adobe Stock

Authors

  • Angelica Martinez Ochoa University of Texas at Dallas

DOI:

https://doi.org/10.18357/otessac.2021.1.1.47

Keywords:

ethics of technology, politics of technology, ethics, artificial intelligence, classification systems, infrastructural design, Adobe Stock

Abstract

This paper explores how the categorization of images and the searching methods in the Adobe Stock database are culturally situated practices; they are a form of politics, filled with questions about who gets to decide what images mean and what kinds of social and political work those representations perform. Understanding the politics behind artificial intelligence, machine learning, and deep learning systems matters now more than ever, as Adobe is already using these technologies across all their products.

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Published

2021-12-24

Issue

Section

Research-Oriented Proceedings