On the disparate impact of causal discovery methods Poster presented at the Deep Learning Indaba 2023 by St John Grimbly
This dissertation introduces two complementary methodological frameworks for advancing causal mediat
Causal inference is concerned with using data from a sample to draw conclusions about cause-and-effe
International audience This article examines the causal impact of migration status on
One of the factors responsible for the growth of African economies is their interaction with advance
This study examines how exposure to media characters of color shapes viewers’ opinions of race-targe
ABSTRACT This study applies AI-enhanced causal inference methods to rigorously assess micr