Detecting and Reducing Bias in a High Stakes Domain

IJCNLP 2019 Ruiqi ZhongYanda ChenDesmond PattonCharlotte SelousKathy McKeown

Gang-involved youth in cities such as Chicago sometimes post on social media to express their aggression towards rival gangs and previous research has demonstrated that a deep learning approach can predict aggression and loss in posts. To address the possibility of bias in this sensitive application, we developed an approach to systematically interpret the state of the art model... (read more)

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