Difference between revisions of "Ethics in NLP"
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* [https://fairmlclass.github.io/ Moritz Hardt's course at UC Berkeley ''Fairness in Machine Learning''] | * [https://fairmlclass.github.io/ Moritz Hardt's course at UC Berkeley ''Fairness in Machine Learning''] | ||
* [http://faculty.washington.edu/ebender/2017_575/ Emily Bender's course at UW ''Ethics in NLP''] | * [http://faculty.washington.edu/ebender/2017_575/ Emily Bender's course at UW ''Ethics in NLP''] | ||
| + | * [http://cslu.ohsu.edu/~bedricks/courses/cs692/ Jill Dolata and Steven Bedrick's course at Oregon Health & Science University] | ||
== 2016 == | == 2016 == | ||
Revision as of 10:06, 1 November 2017
List of online syllabi and other resources around teaching courses on ethics in NLP/ML, organized by year:
2017
- Solon Barocas's course at Cornell University Ethics and Policy in Data Science
- Moritz Hardt's course at UC Berkeley Fairness in Machine Learning
- Emily Bender's course at UW Ethics in NLP
- Jill Dolata and Steven Bedrick's course at Oregon Health & Science University
2016
- Ethics writing assignment from Alvin Grissom II's ML course at Ursinus College
- A Course on Fairness, Accountability and Transparency in Machine Learning, Sponsored by the GIAN program of the Government of India
Other Resources
- Chapter from Hal Daumé III's book draft A Course in Machine Learning
- Burton et al (2017) Ethical Considerations in Artificial Intelligence Courses (arXiv preprint)
- Relevant discussion on twitter often goes under the hashtag #EthNLP