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The Consensus Trap
Sheza Munir, Benjamin Mah Krisha Kalsi, Shivani Kapania, Julian Posada, Edith Law, Ding Wang, Syed Ishtiaque Ahme
Documenting Data Production Processes
The opacity of machine learning data is a significant threat to ethical data work and intelligible systems. Previous research has …
Milagros Miceli, Tianling Yang, Adriana Alvarado García, Julian Posada, Sonja Mei Wang, Marc Pohl, Alex Hanna
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The Data-Production Dispositif
Machine learning (ML) depends on data to train and verify models. Very often, organizations outsource processes related to data work …
Milagros Miceli, Julian Posada
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Studying Up Machine Learning Data
Research in machine learning (ML) has argued that models trained on incomplete or biased datasets can lead to discriminatory outputs. …
Milagros Miceli, Julian Posada, Tianling Yang
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We Haven’t Gone Paperless Yet
How should we understand the social and political effects of the datafication of human life? This paper argues that the effects of data …
Julian Posada, Nicholas Weller, Wendy H. Wong
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