Filed under journal | Tags: · cloud computing, data, infrastructure, internet, media, storage, technology
“This special issue of Culture Machine brings together scholars from a broad range of disciplines such as anthropology, architecture, media and communication studies, and fine arts, who have engaged with data and cloud infrastructures in their academic or artistic work. Taking data centers as technological apparatus as a starting point, this issue aims to discuss the cloud’s philosophical, political, social, and environmental impacts and maps the diverse sociotechnical assemblages which emerge in the course of cloud infrastructuring processes. How do the infrastructures of the cloud integrate into local political contexts and industrial landscapes? How do the cloud’s technologies relate to the emergence of specific forms of subjectivity, sociality, and urbanity? How can the barely visible and secret industrial spaces of the cloud be made visible and opened up for public engagement? And what does the study of data centers tell us about our current social moment?”
Contributions by Adam Fish and Bradley L. Garrett, Alix Johnson, Anthony M Levenda and Dillon Mahmoudi, Vicki Mayer, Matt Parker, Anne Pasek, A.R.E Taylor, Julia Velkova, Asta Vonderau, Sean RM Willett.
Edited by Mél Hogan and Asta Vonderau
Publisher Open Humanities Press, March 2019
Filed under catalogue, wiki book | Tags: · algorithm, artificial intelligence, data, literature, machine learning, natural language processing, poetry, text
Data Workers is an exhibition of algoliterary works, of stories told from an ‘algorithmic storyteller point of view’ taking place at the Mundaneum in Mons, Belgium, from 28 March until 29 April 2019
“Companies create artificial intelligence (AI) systems to serve, entertain, record and learn about humans. The work of these machinic entities is usually hidden behind interfaces and patents. In the exhibition, algorithmic storytellers leave their invisible underworld to become interlocutors. The data workers operate in different collectives. Each collective represents a stage in the design process of a machine learning model: there are the Writers, the Cleaners, the Informants, the Readers, the Learners and the Oracles. The boundaries between these collectives are not fixed; they are porous and permeable. At times, Oracles are also Writers. At other times Readers are also Oracles. Robots voice experimental literature, while algorithmic models read data, turn words into numbers, make calculations that define patterns and are able to endlessly process new texts ever after.
The exhibition foregrounds data workers who impact our daily lives, but are either hard to grasp and imagine or removed from the imagination altogether. It connects stories about algorithms in mainstream media to the storytelling that is found in technical manuals and academic papers.”
“All works visible in the exhibition, as well as the contextual stories and some extra text material have been collected in a publication, which exists in French and English.”
Texts: Cristina Cochior, Sarah Garcin, Gijs de Heij, An Mertens, François Zajéga, Louise Dekeuleneer, Florian Van de Weyer, Laetitia Trozzi, Rémi Forte, Guillaume Slizewicz.
Publisher Constant, Brussels, 2019
Free Art License
Filed under book | Tags: · algorithm, artificial intelligence, crapularity, data, identity, politics, race, racism, segregation, web
“Algorithmic identity politics reinstate old forms of social segregation—in a digital world, identity politics is pattern discrimination. It is by recognizing patterns in input data that Artificial Intelligence algorithms create bias and practice racial exclusions thereby inscribing power relations into media. How can we filter information out of data without reinserting racist, sexist, and classist beliefs?”
Publisher meson press, Lüneburg, in collaboration with the University of Minnesota Press, 2018
In Search of Media series
CC-BY-NC 4.0 International License