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A Survey on Bias and Fairness in Machine Learning. (arXiv:1908.09635v3 [cs.LG] UPDATED)
Web: http://arxiv.org/abs/1908.09635
Jan. 26, 2022, 2:11 a.m. | Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan
cs.LG updates on arXiv.org arxiv.org
With the widespread use of AI systems and applications in our everyday lives,
it is important to take fairness issues into consideration while designing and
engineering these types of systems. Such systems can be used in many sensitive
environments to make important and life-changing decisions; thus, it is crucial
to ensure that the decisions do not reflect discriminatory behavior toward
certain groups or populations. We have recently seen work in machine learning,
natural language processing, and deep learning that addresses …
arxiv bias fairness learning machine machine learning survey
More from arxiv.org / cs.LG updates on arXiv.org
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