Natural language processing methods that derive semantics from large corpora have been shown to incorporate biases present in the data, such as archaic stereotypes of male/female occupations (Caliskan et al., 2017) and sexist adjective associations (Bolukbasi et al., 2016).
there is interest in methods that can detect and address those biases.