Aaron Roth

(2 articles)
Fairness-Aware Machine Learning
2012

Fairness-Aware Machine Learning

Focuses on developing algorithms that ensure equitable treatment and outcomes across different demographic groups.

Generality: 797

Counterfactual Fairness
2017

Counterfactual Fairness

ML concept that ensures decisions remain fair by being unaffected by sensitive attributes, such as race or gender, in hypothetical scenarios where these attributes are altered.

Generality: 590