Open AccessUncovering the Politics Behind Adobe Stock
Author(s) -
Angelica Martinez Ochoa
Publication year - 2021
Publication title -
conference proceedings
Language(s) - English
Resource type - Journals
ISSN - 2816-2021
DOI - 10.18357/otessac.2021.1.1.47
Subject(s) - adobe , politics , categorization , situated , artificial intelligence , computer science , data science , visual arts , sociology , multimedia , world wide web , political science , art , law
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.