Identifying biases in legal data: An algorithmic fairness perspective

21 September 2021

Papers citing "Identifying biases in legal data: An algorithmic fairness perspective"

5 / 5 papers shown

Title
InSaAF: Incorporating Safety through Accuracy and Fairness \| Are LLMs ready for the Indian Legal Domain? Yogesh Tripathi Raghav Donakanti Sahil Girhepuje Ishan Kavathekar Bhaskara Hanuma Vedula Gokul S Krishnan Shreya Goyal Anmol Goel Balaraman Ravindran Ponnurangam Kumaraguru ALM AILaw ELM 19 1 0 16 Feb 2024
Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models? Aniket Deroy Subhankar Maity AILaw ELM 25 5 0 01 Dec 2023
Are Models Trained on Indian Legal Data Fair? Sahil Girhepuje Anmol Goel G. Krishnan Shreyansh Goyal Satyendra Pandey Ponnurangam Kumaraguru B. Ravindran AILaw 15 0 0 13 Mar 2023
LegalRelectra: Mixed-domain Language Modeling for Long-range Legal Text Comprehension Wenyue Hua Yuchen Zhang Zhe Chen Josie Li Melanie Weber AILaw 19 7 0 16 Dec 2022
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016