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	A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity (Hoda Heidari) View
	6.4 Equality of opportunity (12:24) (DalCltElearn) View
	Beyond Outcome Fairness in the ML Pipeline (Machine Learning Department at CMU) View
	On the Long-term Impact of Algorithmic Decision Policies (Hoda Heidari) View
	Ethics of AI: Challenges and Governance (UNESCO) View
	Fairway: A Way to Build Fair ML Software (Video, ESEC/FSE 2020) (ACM SIGSOFT) View
	Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds (ACM FAccT Conference) View
	Distributive Justice for Machine Learning (Machine Learning Department at CMU) View
	Towards Fairness in Practice: A Practitioner-Oriented Rubric for Evaluating Fair ML Toolkits (ACM SIGCHI) View
	EC'21: On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes (ACM SIGecom) View