Save

Worldlessness of Artificial Intelligence

In: Research in Phenomenology
Author:
Płonowska Ziarek Julian Park Professor of Comparative Literature, Department of Comparative Literature, College of Arts and Sciences, University at Buffalo Buffalo, NY USA

Search for other papers by Płonowska Ziarek in
Current site
Google Scholar
PubMed
Close
Download Citation Get Permissions

Access options

Get access to the full article by using one of the access options below.

Institutional Login

Log in with Open Athens, Shibboleth, or your institutional credentials

Login via Institution

Purchase

Buy instant access (PDF download and unlimited online access):

$40.00

Abstract

The concept of an ontology of digital worldlessness developed in this essay examines how the unequal distribution of the ecological, political, and economic harms of AI undermines plural political belonging in a common world. It argues that digital worldlessness stems from a constellation of several sociopolitical practices, including: a) the formalization of information inherent in algorithmic procedures abstracted from the material world, history, and common sense; b) the insertion of digital surveillance networks into a common world to facilitate continuous extraction of data; c) the opacity of algorithmic procedures to the general public affected by their outcomes; and d) the algorithmic sorting of people and nonhuman phenomena in relation to prediction targets set by corporations and state institutions. Drawing on Hannah Arendt’s political theory and on critical race and feminist theories of AI, in particular, Ruha Benjamin and Wendy Chun, the essay foregrounds the relationship between world, technology and power in order to analyze the assaults on human plurality by algorithmic practices. These practices not only automate gender, racist and economic discrimination, but also undermine collective action contesting these harms.

This approach to digital ontology provides an alternative to the dominant but narrow technical meaning of computational ontology in analytical philosophies and computer sciences where this term refers to formulating compatible taxonomies among different data sets for the purposes of information classification.

Content Metrics

All Time Past 365 days Past 30 Days
Abstract Views 394 394 117
Full Text Views 18 18 8
PDF Views & Downloads 57 57 25