26 citations · 52 across the 2 of their papers we have counts for
2 papers
cs.HC2021★ 26 cited
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?
Milagros Miceli, Julian Posada, Tianling Yang
Research in machine learning (ML) has primarily argued that models trained on incomplete or biased datasets can lead to discriminatory outputs. In this commentary, we propose movin…
cs.HC2020★ 26 cited
Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision
Milagros Miceli, Martin Schuessler, Tianling Yang
The interpretation of data is fundamental to machine learning. This paper investigates practices of image data annotation as performed in industrial contexts. We define data annota…