Difference between revisions of "DATS 6450 — Data Science Ethics"
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* [https://drive.google.com/open?id=1sKO1ZIyYll0xX5m3zt_Q-joTGzvaRU92 Syllabus] | * [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] | * [https://dashboard.wikiedu.org/courses/George_Washington_University/DATS_6450_-_Data_Science_Ethics_(Fall_2019)/home Wikipedia Course Dashboard] | ||
* [https://drive.google.com/open?id=1HTOVVErtGhaoJbasel8gWbUgAnq467o4 Public Google Drive] | |||
==Sources== | ==Sources== |
Revision as of 18:53, 4 September 2019
Course Materials:
Sources
- Against Human Exceptionalism: Environmental Ethics and the Machine Question, Migle Laukyte, Springer International Publishing
- Crash: how computers are setting us up for disaster, Tim Harford, The Guardian.
Word Embeddings
- Debaiaswe - instructor's fork
- 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.
- Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings,
- Removing gender bias from algorithms, The Conversation, James Zou, Assistant Professor of Biomedical Data Science, Stanford University,
- https://www.technologyreview.com/s/602025/how-vector-space-mathematics-reveals-the-hidden-sexism-in-language/
- https://towardsdatascience.com/gender-bias-word-embeddings-76d9806a0e17
- https://arxiv.org/pdf/1806.06301.pdf