Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa

5 April 2023

Papers citing "Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa"

6 / 6 papers shown

Title
Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases M. Asiedu Nenad Tomašev Chintan Ghate Tiya Tiyasirichokchai Awa Dieng ... Steve Adudans Sylvanus Aitkins Odianosen Ehiakhamen Eric Ndombi Katherine Heller LM&MA 53 1 0 17 Jan 2025
Revisiting Technical Bias Mitigation Strategies Abdoul Jalil Djiberou Mahamadou Artem A. Trotsyuk 14 0 0 22 Oct 2024
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes Nabeel Seedat Nicolas Huynh B. V. Breugel M. Schaar 13 25 0 19 Dec 2023
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings Jessica Schrouff Natalie Harris Oluwasanmi Koyejo Ibrahim M. Alabdulmohsin Eva Schnider ... Vivek Natarajan Alan Karthikesalingam Katherine A. Heller Silvia Chiappa Alexander DÁmour OOD 51 53 0 02 Feb 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016