IJCAI 2017 paper was cited by US House of Representatives Committee’s Report!

Our  IJCAI 2017 paper entitled “A Causal Framework for Discovering and Removing Direct and Indirect Discrimination,”  by Lu Zhang, Yongkai Wu, and Xintao Wu, was cited in the United States House of Representatives Committee on Financial Services address to Federal Reserve Chairman Jerome H Powell. (See reference [19] on page 3 — Racial Bias Concerns in Artificial Intelligence and Machine Learning Technology). The work also received over 80 citations in google scholar. We are glad to know our research work on fair machine learning has impact on both the research community and society. This is also reported in the news.