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| ;Homework assigned | | ;Homework assigned |
| * Reading and reflect: Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé, III, Miro Dudik, and Hanna Wallach. 2019. ''[https://arxiv.org/pdf/1812.05239.pdf Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?]''. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, Paper 600, 16 pages. DOI: https://doi.org/10.1145/3290605.3300830 | | * Reading and reflect: TBD (data science ethics survey paper) |
| * [[Human_Centered_Data_Science_(Fall_2019)/Assignments#A6:_Final project presentation|A6: Final project presentation]] | | * A6: Final project presentation |
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| ;Resources | | ;Resources |