Discover 1 peer-reviewed study in Fairness In Machine Learning Training (2023). Explore research findings powered by Prolific's diverse participant panel.
This page lists 1 peer-reviewed paper in the research area of Fairness In Machine Learning Training in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
Authors: LS Treiman, CJ Ho, W Kool
Year: 2023
Published in: Proceedings of the AAAI Conference on ..., 2023 - ojs.aaai.org
Institution: Massachusetts Institute of Technology, Yale University
Research Area: AI Ethics, Human-AI Interaction, Fairness in Machine Learning Training
Discipline: Human-Computer Interaction (HCI), Artificial Intelligence Ethics
DOI: https://doi.org/10.1609/hcomp.v11i1.27556
Citations: 6
Related Disciplines: Human-Computer Interaction (HCI), Artificial Intelligence Ethics
Related Institutions: Massachusetts Institute of Technology, Yale University
Researchers: LS Treiman, CJ Ho, W Kool
Publication Years: 2023
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