Editing Human Centered Data Science (Fall 2019)/Schedule (section)

=== Week 9: November 21 ===

;Data science in context: Doing human centered datascience in product organizations; communicating and collaborating across roles and disciplines; HCDS industry trends and trajectories

;Assignments due
* Reading reflection

;Agenda
* Filling out course evaluation
* Week 8 in-class activity report out
* End of quarter logistics
* Final project presentations and reports
* Guest lecture: Rich Caruana, Microsoft Research
* In-class activity (InterpretML): Harsha Nori, Microsoft


;Homework assigned
* Read and reflect: Passi, S., & Jackson, S. J. (2018). ''[https://dl.acm.org/citation.cfm?doid=3290265.3274405 Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects].'' Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), 1–28. https://doi.org/10.1145/3274405 ([https://sjackson.infosci.cornell.edu/Passi&Jackson_TrustinDataScience(CSCW2018).pdf ACCESS PDF HERE])
* [[Human_Centered_Data_Science_(Fall_2019)/Assignments#A7:_Final_project_report|A7: Final project report]]

;Resources
* Rich Caruana, Harsha Nori, Samuel Jenkins, Paul Koch, Ester de Nicolas. 2019. ''InterpretML software toolkit'' ([https://github.com/interpretml/interpret github repo], [https://www.microsoft.com/en-us/research/blog/creating-ai-glass-boxes-open-sourcing-a-library-to-enable-intelligibility-in-machine-learning/ blog post])
* Partnership on AI, 2019 ''[https://www.partnershiponai.org/report-on-machine-learning-in-risk-assessment-tools-in-the-u-s-criminal-justice-system/ Report on Algorithmic Risk Assessment Tools in the U.S. Criminal Justice System].'' 
* Morgan, J. T., 2019. ''[https://figshare.com/articles/Ethical_Human_Centered_AI/8044553 Ethical and Human-centered AI at Wikimedia]''. Wikimedia Research 2030.

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