Difference between revisions of "DATS 6450 — Data Science Ethics"
From Simson Garfinkel
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* [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.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. | * [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://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005399 Ten simple rules for responsible big data research], Matthew Zook , Solon Barocas, danah boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara A. Koenig, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, Frank Pasquale, March 30, 2017 | |||
Revision as of 18:40, 20 September 2019
Course Materials:
Ethical Framework Sources
- ACM Code of Ethics
- IEEE Code of Ethics
- IEEE Ethically Aligned Design, First Edition, "The most comprehensive, crowd-sourced, global treatise regarding the ethics of autonomous and intelligent systems available today."
Other 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.
- Ten simple rules for responsible big data research, Matthew Zook , Solon Barocas, danah boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara A. Koenig, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, Frank Pasquale, March 30, 2017
Lab 1 - 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
