A Survey on Bias and Fairness in Machine Learning
Mehrabi, Ninareh, Morstatter, Fred, Saxena, Nripsuta, Lerman, Kristina, Galstyan, Aram·2022·ACM Computing Surveys
DOI 10.1145/3457607
Cited by (160)
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- A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future ResearchRoy, Falguni, Ding, Xiaofeng, Choo, K. -K. R., Zhou, Pan · 2024 · arXiv
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