View source for DATS 6450 — Data Science Ethics

Course Materials:
* [https://drive.google.com/open?id=1sKO1ZIyYll0xX5m3zt_Q-joTGzvaRU92 Syllabus]
* [https://dashboard.wikiedu.org/courses/George_Washington_University/DATS_6450_-_Data_Science_Ethics_(Fall_2019)/home Wikipedia Course Dashboard]

==Sources==
* [https://www.springerprofessional.de/en/against-human-exceptionalism-environmental-ethics-and-the-machin/16425188 Against Human Exceptionalism: Environmental Ethics and the Machine Question], Migle Laukyte, Springer International Publishing
* [https://www.theguardian.com/technology/2016/oct/11/crash-how-computers-are-setting-us-up-disaster Crash: how computers are setting us up for disaster], Tim Harford, The Guardian.
===Word Embeddings===
* [https://www.aclweb.org/anthology/D18-1521 Learning Gender-Neutral Word Embeddings], Jieyu Zhao, Yichao Zhou Zeyu Li Wei Wang Kai-Wei Chang, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 4847–4853 Brussels, Belgium, October 31 - November 4, 2018. 
* [https://papers.nips.cc/paper/6228-man-is-to-computer-programmer-as-woman-is-to-homemaker-debiasing-word-embeddings.pdf Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings],
* [https://theconversation.com/removing-gender-bias-from-algorithms-64721 Removing gender bias from algorithms], The Conversation, James Zou, Assistant Professor of Biomedical Data Science, Stanford University,