Difference between revisions of "Ethics in NLP"
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* [https://www.aclweb.org/anthology/volumes/W17-16 Proceedings of the First ACL Workshop on Ethics in Natural Language Processing at EACL 2017] | * [https://www.aclweb.org/anthology/volumes/W17-16 Proceedings of the First ACL Workshop on Ethics in Natural Language Processing at EACL 2017] | ||
* [https://arxiv.org/abs/1701.07769 Burton et al (2017) ''Ethical Considerations in Artificial Intelligence Courses'' (arXiv preprint)] | * [https://arxiv.org/abs/1701.07769 Burton et al (2017) ''Ethical Considerations in Artificial Intelligence Courses'' (arXiv preprint)] | ||
| + | * [https://aclanthology.org/2021.naacl-main.295 Shmueli et al (2021), ''Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing''] | ||
* [http://ciml.info/dl/v0_99/ciml-v0_99-ch08.pdf Chapter from Hal Daumé III's book draft ''A Course in Machine Learning''] | * [http://ciml.info/dl/v0_99/ciml-v0_99-ch08.pdf Chapter from Hal Daumé III's book draft ''A Course in Machine Learning''] | ||
* [http://aclweb.org/anthology/W18-08 Proceedings of the Second ACL Workshop on Ethics in Natural Language Processing at ACL 2018] | * [http://aclweb.org/anthology/W18-08 Proceedings of the Second ACL Workshop on Ethics in Natural Language Processing at ACL 2018] | ||
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* [http://web.cs.ucla.edu/~kwchang/talks/emnlp19-fairnlp/ EMNLP-2019 Tutorial: Bias and Fairness in Natural Language Processing by Kai-Wei Chang, Vicente Ordonez, Margaret Mitchell, Vinodkumar Prabhakaran] | * [http://web.cs.ucla.edu/~kwchang/talks/emnlp19-fairnlp/ EMNLP-2019 Tutorial: Bias and Fairness in Natural Language Processing by Kai-Wei Chang, Vicente Ordonez, Margaret Mitchell, Vinodkumar Prabhakaran] | ||
* [https://www.cs.hmc.edu/~xanda/files/acl2020tutorial_teachingethicsinnlp.pdf ACL 2020 Tutorial: Integrating Ethics into the NLP Curriculum by Emily M. Bender, Dirk Hovy and Xanda Schofield] | * [https://www.cs.hmc.edu/~xanda/files/acl2020tutorial_teachingethicsinnlp.pdf ACL 2020 Tutorial: Integrating Ethics into the NLP Curriculum by Emily M. Bender, Dirk Hovy and Xanda Schofield] | ||
| + | ** [https://aclweb.org/aclwiki/Notes_on_Teaching_Ethics_in_NLP Notes produced by participants in the tutorial] | ||
* 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 Awesome-Fairness-Papers] | ||
Latest revision as of 12:21, 1 July 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)
- Shmueli et al (2021), Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
- 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