Difference between revisions of "DATS 6450 — Data Science Ethics"

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* [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.
 
* [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===
 
===Word Embeddings===
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* [https://github.com/simsong/debiaswe Debaiaswe - instructor's fork]
 
* [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://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://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,
 
* [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,

Revision as of 13:24, 4 August 2019

Course Materials:

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Word Embeddings