Can active learning preemptively mitigate fairness issues?
F Branchaud-Charron, P Atighehchian… - arXiv preprint arXiv …, 2021 - arxiv.org
Dataset bias is one of the prevailing causes of unfairness in machine learning. Addressing
fairness at the data collection and dataset preparation stages therefore becomes an …
fairness at the data collection and dataset preparation stages therefore becomes an …
Can Active Learning Preemptively Mitigate Fairness Issues?
F Branchaud-Charron, P Atighehchian… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Dataset bias is one of the prevailing causes of unfairness in machine learning. Addressing
fairness at the data collection and dataset preparation stages therefore becomes an …
fairness at the data collection and dataset preparation stages therefore becomes an …