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Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?
Research in machine learning (ML) has primarily argued that models trained on incomplete or biased datasets can lead to discriminatory outputs.
Wisdom for the Crowd: Discoursive Power in Annotation Instructions for Computer Vision
Developers of computer vision algorithms outsource some of the labor involved in annotating training data through business process outsourcing companies and crowdsourcing platforms.
Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision
We define data annotation as a sense-making practice, where annotators assign meaning to data through the use of labels.
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