Make your data fair: A survey of data preprocessing techniques that address biases in data towards fair AI

Author:

Tawakuli Amal,Engel Thomas

Publisher

Elsevier BV

Reference57 articles.

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2. Dastin, J., Amazon Scraps Secret AI Recruiting Tool that Showed Bias Against Women. Reuters.〈https://www.reuters.com/article/us-amazon-com-jobs-automation-insight-idUSKCN1MK08G〉.

3. A survey on bias and fairness in machine learning;Mehrabi;ACM Comput. Surv.,2021

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5. Buolamwini, J., Gebru, T., Gender shades: Intersectional accuracy disparities in commercial gender classification.In: Proceedings of the 1st Conference on Fairness, Accountability and Transparency. Proceedings of Machine Learning Research, vol. 81. PMLR, New York, NY, USA(2018).

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