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

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Abstract

Researchers and practitioners in natural-language 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.

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APA

Larson, B. N. (2017). Gender as a Variable in Natural-Language Processing: Ethical Considerations. In EACL 2017 - Ethics in Natural Language Processing, Proceedings of the 1st ACL Workshop (pp. 1–11). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-1601

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