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	Fairway: A Way to Build Fair ML Software (Video, ESEC/FSE 2020) (ACM SIGSOFT) View
	Towards Fairness in Practice: A Practitioner-Oriented Rubric for Evaluating Fair ML Toolkits (ACM SIGCHI) View
	A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity (Hoda Heidari) View
	Beyond Outcome Fairness in the ML Pipeline (Machine Learning Department at CMU) View
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