Racial formations as data formations
Dados Bibliográficos
| ID | 5260419 |
|---|---|
| Autores | Tuong Phan (0000-0002-2013-3359, Monash University), Scott Wark (0000-0002-4515-5896, University of Warwick) |
| Ano | 2021 |
| Volume | 8 |
| Fascículo | 2 |
| Data de publicação | 2021-07-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Big Data & Society (JOURNAL) |
| Identificadores do periódico | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Editora | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/20539517211046377 |
| OpenAlex | W3203763675 |
| Idioma | EN |
| Citações recebidas | 22 |
| Referências citadas | 22 |
This commentary uses Paul Gilroy's controversial claim that new technoscientific processes are instituting an 'end to race' as a provocation to discuss the epistemological transformation of race in algorithmic culture. We situate Gilroy's provocation within the context of an abolitionist agenda against racial-thinking, underscoring the relationship between his post-race polemic and a post-visual discourse. We then discuss the challenges of studying race within regimes of computation, which rely on structures that are, for the most part, opaque; in particular, modes of classification that operate through proxies and abstractions and that figure racialized bodies not as single, coherent subjects, but as shifting clusters of data. We argue that in this new regime, race emerges as an epiphenomenon of processes of classifying and sorting - what we call 'racial formations as data formations'. This discussion is significant because it raises new theoretical, methodological and political questions for scholars of media and critical algorithmic studies. It asks: how are we supposed to think, to identify and to confront race and racialisation when they vanish into algorithmic systems that are beyond our perception? What becomes of racial formations in post-visual regimes
Epiphenomenon · Epistemology · Political science · Politics · Racial formation theory · Sociology · Ethics and Social Impacts of AI · Gender Studies · History · Law · Philosophy · Posthumanist Ethics and Activism · Race, Genetics, and Society
“Turns Out My Paternal Grandmother has 16% Native Blood”
Gendered asymmetries in AI stories in English and Spanish
Navigating health and social care systems
Governing algorithms from the South
On phantom publics, clusters, and collectives
On the individuation of complex computational models
Alcohol marketing on social media
Machine Learning, Synthetic Data, and the Politics of Difference
The Logic of the Synthetic Supplement in Algorithmic Societies
Tuning machines
Going Digital … But What For? Parties' Ideological Positions and Divides on Platform Societies in Western Europe
AI, classification, and education
An experiment in cutting race down to analytical size
Gender and the Algorithmic Future
The latent subject
Bordering worlds, modelling borders
A world model
The problem with Pod Man
Situating questions of data, power, and racial formation
Data citizenship
From rules to examples
Racial platform capitalism
Surrogate Humanity
The Idea of Race in Science
Machine Learners
Algorithms of Oppression
Race to the Finish
Dislocating the Color Line
Racial Formation in the United States
Duress
Race as Technology
Against Race
Why race still matters
Automating Inequality
The nice thing about context is that everyone has it
Indigenous Knowledge in a Postgenomic Landscape
The Remainders of Race
Race ends here
| Obras citantes distintas | 22 |
|---|---|
| Citações por ano | 5,5 |
| Intervalo de citações | 2022 - 2026 (5) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 20 |