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Article
Gender as a Variable in Natural-Language Processing: Ethical Considerations
2017 Proceedings of the First Workshop on Ethics in Natural Language Processing
  • Brian N. Larson, Texas A&M University School of Law
Document Type
Conference Proceeding
Publication Date
4-2017
ISBN
978-1-945626-47-0
Abstract

Researchers and practitioners in naturallanguage processing (NLP) and related fields should attend to ethical principles in study design, ascription of categories/variables to study participants, and reporting of findings or results. This paper discusses theoretical and ethical frameworks for using gender as a variable in NLP studies and proposes four guidelines for researchers and practitioners. The principles outlined here should guide practitioners, researchers, and peer reviewers, and they may be applicable to other social categories, such as race, applied to human beings connected to NLP research.

Num Pages
111
Publisher
Association for Computational Linguistics
File Type
PDF
Citation Information
Brian N. Larson. "Gender as a Variable in Natural-Language Processing: Ethical Considerations" 2017 Proceedings of the First Workshop on Ethics in Natural Language Processing (2017) p. 30 - 40
Available at: http://works.bepress.com/brian-larson/5/