Gender as a Variable in Natural-Language Processing: Ethical Considerations

Authors

Brian N. Larson, Texas A&M University School of LawFollow

Document Type

Conference Proceeding

Publication Date

4-2017

Journal Title

2017 Proceedings of the First Workshop on Ethics in Natural Language Processing

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.

First Page

30

Last Page

40

Num Pages

111

Publisher

Association for Computational Linguistics

Recommended Citation

Brian N. Larson, Gender as a Variable in Natural-Language Processing: Ethical Considerations, 30 (2017).
Available at: https://scholarship.law.tamu.edu/facscholar/832

File Type

PDF