Metaphors We Live By

Dippel, Anne

doi:10.1515/9783839447192-002

Cited by 17 publications

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“…Data possesses an “inherent humanness” since it is premised on the “almost literal mining of subjectivity” (Lemov, 2016, emphasis original) or the extraction of “human experience as free raw material” (Zuboff, 2019: 5). This premise has been carried over into critical AI studies, where it is held that the “data used today in ML, and especially DL, is all too human” (Roberge and Castelle, 2021: 10) and that “AI should be owned by the people, because it is overwhelmingly ‘fed’ by the people” (Dippel, 2021: 40).…”

Section: Context: Data-intensive Capital and Surveillancementioning

confidence: 99%

Toward a political economy of synthetic data: A data-intensive capitalism that is not a surveillance capitalism?

Steinhoff

2022

New Media & Society

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Surveillance of human subjects is how data-intensive companies obtain much of their data, yet surveillance increasingly meets with social and regulatory resistance. Data-intensive companies are thus seeking other ways to meet their data needs. This article explores one of these: the creation of synthetic data, or data produced artificially as an alternative to real-world data. I show that capital is already heavily invested in synthetic data. I argue that its appeal goes beyond circumventing surveillance to accord with a structural tendency within capitalism toward the autonomization of the circuit of capital. By severing data from human subjectivity, synthetic data contributes to the automation of the production of automation technologies like machine learning. A shift from surveillance to synthesis, I argue, has epistemological, ontological, and political economic consequences for a society increasingly structured around data-intensive capital.

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Section: Context: Data-intensive Capital and Surveillancementioning

confidence: 99%

Toward a political economy of synthetic data: A data-intensive capitalism that is not a surveillance capitalism?

Steinhoff

2022

New Media & Society

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At the Edge of AI

Veprek

2024

Science Studies

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How are human computation systems developed in the field of citizen science to achieve what neither humans nor computers can do alone? Through multiple perspectives and methods, Libuse Hannah Veprek examines the imagination of these assemblages, their creation, and everyday negotiation in the interplay of various actors and play/science entanglements at the edge of AI. Focusing on their human-technology relations, this ethnographic study shows how these formations are marked by intraversions, as they change with technological advancements and the actors' goals, motivations, and practices. This work contributes to the constructive and critical ethnographic engagement with human-AI assemblages in the making.

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Veprek

2024

Science Studies

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Metaphors We Live By

Cited by 17 publications

References 0 publications

Toward a political economy of synthetic data: A data-intensive capitalism that is not a surveillance capitalism?

Toward a political economy of synthetic data: A data-intensive capitalism that is not a surveillance capitalism?

At the Edge of AI

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