Difference between revisions of "Ethics in NLP"
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| + | == Resources == | ||
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| + | * [http://aclweb.org/anthology/P16-2096 Hovy and Spruit (2016) ''The Social Impact of Natural Language Processing''] | ||
| + | * [http://www.ethicsinnlp.org/workshop/EthNLP-2017.pdf Proceedings of the First ACL Workshop on Ethics in Natural Language Processing at EACL] | ||
| + | * [https://arxiv.org/abs/1701.07769 Burton et al (2017) ''Ethical Considerations in Artificial Intelligence Courses'' (arXiv preprint)] | ||
| + | * [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 EACL] | ||
| + | * Relevant discussion on twitter often goes under the hashtag #EthNLP | ||
| + | |||
List of online syllabi and other resources around teaching courses on ethics in NLP/ML, organized by year: | List of online syllabi and other resources around teaching courses on ethics in NLP/ML, organized by year: | ||
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* [https://github.com/acgrissom/2016-ml-course/blob/master/assignments/writing.md Ethics writing assignment from Alvin Grissom II's ML course at Ursinus College] | * [https://github.com/acgrissom/2016-ml-course/blob/master/assignments/writing.md Ethics writing assignment from Alvin Grissom II's ML course at Ursinus College] | ||
* [https://geomblog.github.io/fairness/ A Course on Fairness, Accountability and Transparency in Machine Learning, Sponsored by the GIAN program of the Government of India] | * [https://geomblog.github.io/fairness/ A Course on Fairness, Accountability and Transparency in Machine Learning, Sponsored by the GIAN program of the Government of India] | ||
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Revision as of 12:37, 1 December 2019
Resources
- 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
- 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 EACL
- Relevant discussion on twitter often goes under the hashtag #EthNLP
List of online syllabi and other resources around teaching courses on ethics in NLP/ML, organized by year:
2019
- Ryan Georg's course at UW "Ethics in NLP: Including Society in Discourse & Design"
- Ted Pederson's undergraduate class at UMD "Computer Ethics"
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