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. In this
commentary, we propose moving the research focus beyond bias-oriented framings
by adopting a power-awar… Read more

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