2017 Proceedings of the First Workshop on Ethics in Natural Language Processing
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.
Association for Computational Linguistics
Brian N. Larson,
Gender as a Variable in Natural-Language Processing: Ethical Considerations,
Available at: https://scholarship.law.tamu.edu/facscholar/832