Synthetic (Data) Universality

Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

Standard

Synthetic (Data) Universality. / Wiehn, Tanja.

2023. Abstract fra Common sense for humans and machines: Making decisions in the absence of information.

Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

Harvard

Wiehn, T 2023, 'Synthetic (Data) Universality', Common sense for humans and machines: Making decisions in the absence of information, 07/12/2023 - 08/12/2023.

APA

Wiehn, T. (2023). Synthetic (Data) Universality. Abstract fra Common sense for humans and machines: Making decisions in the absence of information.

Vancouver

Wiehn T. Synthetic (Data) Universality. 2023. Abstract fra Common sense for humans and machines: Making decisions in the absence of information.

Author

Wiehn, Tanja. / Synthetic (Data) Universality. Abstract fra Common sense for humans and machines: Making decisions in the absence of information.

Bibtex

@conference{51e354649c1b40c2b0e0c8559a2403c3,
title = "Synthetic (Data) Universality",
abstract = "This paper aims to make sense of the ways in which synthetic data renews the engagement with issues of knowledgeability and cultural situatedness in machine vision environments. The implementation of synthetic data poses new challenges for a critique on machine learning regimes, notably in moments when data sets become decoupled of their cultural situatedness and rest on beliefs of a data universality. Furthermore, my aim is to nuance the understanding of synthetic data by pointing to the complex hybridity of the synthetic. I argue that through the emergence of synthetic data, new questions need to be directed to when and how synthetically generated data comes to be a placeholder in data sets (Chun 2021; Mulvin 2021). I thus ask in what ways data scarcity can indicate a socio-political relationship between the lack and saturation of data existing in the world. For this entry, I rely on two cases in point to discuss the cultural meaning of synthetic data through critical data studies and cultural theory. ",
author = "Tanja Wiehn",
year = "2023",
month = dec,
day = "8",
language = "English",
note = "null ; Conference date: 07-12-2023 Through 08-12-2023",
url = "https://comm.ku.dk/calendar/2023/common-sense-for-humans-and-machines/",

}

RIS

TY - ABST

T1 - Synthetic (Data) Universality

AU - Wiehn, Tanja

PY - 2023/12/8

Y1 - 2023/12/8

N2 - This paper aims to make sense of the ways in which synthetic data renews the engagement with issues of knowledgeability and cultural situatedness in machine vision environments. The implementation of synthetic data poses new challenges for a critique on machine learning regimes, notably in moments when data sets become decoupled of their cultural situatedness and rest on beliefs of a data universality. Furthermore, my aim is to nuance the understanding of synthetic data by pointing to the complex hybridity of the synthetic. I argue that through the emergence of synthetic data, new questions need to be directed to when and how synthetically generated data comes to be a placeholder in data sets (Chun 2021; Mulvin 2021). I thus ask in what ways data scarcity can indicate a socio-political relationship between the lack and saturation of data existing in the world. For this entry, I rely on two cases in point to discuss the cultural meaning of synthetic data through critical data studies and cultural theory.

AB - This paper aims to make sense of the ways in which synthetic data renews the engagement with issues of knowledgeability and cultural situatedness in machine vision environments. The implementation of synthetic data poses new challenges for a critique on machine learning regimes, notably in moments when data sets become decoupled of their cultural situatedness and rest on beliefs of a data universality. Furthermore, my aim is to nuance the understanding of synthetic data by pointing to the complex hybridity of the synthetic. I argue that through the emergence of synthetic data, new questions need to be directed to when and how synthetically generated data comes to be a placeholder in data sets (Chun 2021; Mulvin 2021). I thus ask in what ways data scarcity can indicate a socio-political relationship between the lack and saturation of data existing in the world. For this entry, I rely on two cases in point to discuss the cultural meaning of synthetic data through critical data studies and cultural theory.

M3 - Conference abstract for conference

Y2 - 7 December 2023 through 8 December 2023

ER -

ID: 390590981