Revealing gender biases in court decisions with natural language processing

University of Campinas, 2020-2023

master's dissertation | code | dataset | slides 

publications:

• Raysa Benatti, Fabiana Severi, Sandra Avila, and Esther L. Colombini. Gender Bias Detection in Court Decisions: A Brazilian Case Study. In FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, pages 746–763, Rio de Janeiro, Brazil;

• Raysa M. Benatti, Camila M. L. Villarroel, Sandra Avila, Esther L. Colombini, and Fabiana Severi. Should I disclose my dataset? Caveats between reproducibility and individual data rights. In Proceedings of the Natural Legal Language Processing Workshop 2022, pages 228–237, Abu Dhabi, United Arab Emirates (Hybrid). EMNLP/Association for Computational Linguistics. video

outreach:

• Implications tutorial: Should I disclose my dataset? Legal and ethical considerations for researchers dealing with court documents. FAccT'24: the 2024 ACM Conference on Fairness, Accountability, and Transparency: slides; 

• XV WTD (UNICAMP's Institute of Computing Research Workshop, 2020): video;

• II USP's Law School of Ribeirão Preto Research Seminar (2020): Development in the Democratic State -- Using jurimetrics and natural language processing tools in inequalities and access to justice research: slides (pt-br)