Situating machine learning – On the calibration of problems in practice
Author:
Affiliation:
1. Schaufler Lab@TU Dresden, Dresden, Germany
2. Institute of Sociology, TU Dresden, Dresden, Germany
Funder
Schaufler Foundation
TU Dresden
Publisher
Informa UK Limited
Subject
Social Sciences (miscellaneous),Sociology and Political Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/1600910X.2023.2177319
Reference56 articles.
1. Amoore, Louise. 2020. Cloud ethics. Algorithms and the attributes of ourselves and others. Durham: Duke University Press.
2. Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability
3. On Justification
4. Machine learning and social theory: Collective machine behaviour in algorithmic trading
5. Both, Göde. 2020. Keeping autonomous driving Alive: An ethnography of visions, masculinity and fragility. Leverkusen: Budrich.
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