Ethics in NLP

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
• 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

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