Fairness (machine learning)
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Fairness in machine learning refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions made by such models after a learning process may b
Confusion matrix
Relationship between fairness criteria as shown in Barocas et al.
Margaret Mitchell is a computer scientist who works on algorithmic bias and fairness in machine learning. She is most well known for her work on automatically removing undesired biases concerning demo
Mitchell in 2022