Uncovering the Politics Behind Adobe Stock
DOI:
https://doi.org/10.18357/otessac.2021.1.1.47Keywords:
ethics of technology, politics of technology, ethics, artificial intelligence, classification systems, infrastructural design, Adobe StockAbstract
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.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Angelica Martinez Ochoa
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to the OTESSA conference agree to release their articles under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This licence allows this work to be copied, distributed, remixed, transformed, and built upon for any purpose provided that appropriate attribution is given, a link is provided to the license, and changes made were indicated.
Authors retain copyright of their work and grant OTESSA right of first publication.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the conference's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in OTESSA's conference proceedings.