Difference between revisions of "Ethics in NLP"
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* Relevant discussion on twitter often goes under the hashtag [https://twitter.com/search?q=%23ethnlp #EthNLP] | * Relevant discussion on twitter often goes under the hashtag [https://twitter.com/search?q=%23ethnlp #EthNLP] | ||
* As of March 2020, the ACL has adopted the [https://www.acm.org/code-of-ethics ACM Code of Ethics] | * As of March 2020, the ACL has adopted the [https://www.acm.org/code-of-ethics ACM Code of Ethics] | ||
| − | * A collection of paper on Fairness in NLP [https://github.com/uclanlp/awesome-fairness-papers] | + | * A collection of paper on Fairness in NLP [https://github.com/uclanlp/awesome-fairness-papers Awesome-Fairness-Papers] |
Revision as of 15:19, 25 April 2021
Resources
- Fort and Couillault (2016) Yes, We Care! Results of the Ethics and Natural Language Processing Surveys
- Hovy and Spruit (2016) The Social Impact of Natural Language Processing
- Proceedings of the First ACL Workshop on Ethics in Natural Language Processing at EACL 2017
- Burton et al (2017) Ethical Considerations in Artificial Intelligence Courses (arXiv preprint)
- Chapter from Hal Daumé III's book draft A Course in Machine Learning
- Proceedings of the Second ACL Workshop on Ethics in Natural Language Processing at ACL 2018
- NAACL-2018 Tutorial: Socially Responsible NLP by Yulia Tsvetkov, Vinodkumar Prabhkakaran, and Rob Voigt
- EMNLP-2019 Tutorial: Bias and Fairness in Natural Language Processing by Kai-Wei Chang, Vicente Ordonez, Margaret Mitchell, Vinodkumar Prabhakaran
- ACL 2020 Tutorial: Integrating Ethics into the NLP Curriculum by Emily M. Bender, Dirk Hovy and Xanda Schofield
- Relevant discussion on twitter often goes under the hashtag #EthNLP
- As of March 2020, the ACL has adopted the ACM Code of Ethics
- A collection of paper on Fairness in NLP Awesome-Fairness-Papers
List of online syllabi and other resources around teaching courses on ethics in NLP/ML, organized by year:
2020
- Dan Jurafsky's course at Stanford "Ethical and Social Issues in Natural Language Processing"
- Kai-Wei Chang's course at UCLA "Fairness, Accountability, and Transparency in Natural Language Processing"
- Yulia Tsvetkov and Alan W Black's course at CMU "Computational Ethics for NLP"
2019
- Ryan Georgi's course at UW "Ethics in NLP: Including Society in Discourse & Design"
- Ted Pederson's undergraduate class at UMD "Computer Ethics"
- Yulia Tsvetkov and Alan W Black's course at CMU "Computational Ethics for NLP"
- Emily M. Bender's course at UW "Ethics in NLP"
2018
- Su Lin Blodgett, Abe Handler, and Katie Keith's course at UMass "Ethical Issues Surrounding Artificial Intelligence Systems and Big Data"
- Yulia Tsvetkov and Alan W Black's course at CMU "Computational Ethics for NLP"
- Ryan Georgi's course at UW "Ethical Considerations in NLP"
- Anne Lauscher, Federico Nanni and Simone Paolo Ponzetto's course at U Mannheim "Text Analytics Seminar (HWS 2018: Ethics in NLP)"
- Karën Fort's course at Université François Rabelais "Ethics and Digital Technologies" (scroll down towards the bottom of the page)
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