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September 22, 2016: What is Machine Learning (and Why Might it Be Unfair?)
October 6, 2016: What is Fair and Equal Treatment? 
November 3, 2016: Fairness and Performance Trade-Offs in Machine Learning
December 9, 2016: Regulating Robo-Advisors Across the Financial Services Industry
February 20, 2017: For the People, By the Robots? Democratic Governance in a Machine-Learning Era
March 21, 2017: Can Technology be Democratic? Transparency and Accountability in Machine Learning
April 11, 2017: Big Data and Government: Meeting the Real-World Challenges
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