What are the biases in my word embedding?

Understand

This paper presents an algorithm for enumerating biases in word embeddings.

• The algorithm exposes a large number of offensive associations related to sensitive features such as race and gender on publicly available embeddings, including a supposedly "debiased" embedding.
• These biases are concerning in light of the widespread use of word embeddings.
• The associations are identified by geometric patterns in word embeddings that run parallel between people's names and common lower-case tokens.