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…