Value-laden Disciplinary Shifts in Machine Learning

3 December 2019

Papers citing "Value-laden Disciplinary Shifts in Machine Learning"

7 / 7 papers shown

Title
Evaluation for Change Rishi Bommasani ELM 35 0 0 20 Dec 2022
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus José P. Pombal Duarte M. Alves André F. Cruz Pedro Saleiro Rita P. Ribeiro João Gama P. Bizarro 35 32 0 24 Nov 2022
Making Intelligence: Ethical Values in IQ and ML Benchmarks Borhane Blili-Hamelin Leif Hancox-Li 27 16 0 01 Sep 2022
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research Bernard Koch Emily L. Denton A. Hanna J. Foster 31 140 0 03 Dec 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 19 273 0 29 Jun 2021
A Hierarchy of Limitations in Machine Learning M. Malik 13 55 0 12 Feb 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 192 2,082 0 24 Oct 2016