BENN: Bias Estimation Using a Deep Neural Network

Utilizing existing methods for bias detection in machine learning (ML) models is challenging since each method: 1) explores a different ethical aspect of bias, which may result in contradictory output among the different methods; 2) provides output in a different range/scale and therefore cannot be...

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Bibliographic Details
Main Authors:	Elovici, Y. (Author), Fischer, S. (Author), Fromm, R. (Author), Giloni, A. (Author), Grolman, E. (Author), Hagemann, T. (Author), Shabtai, A. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:	Bias estimation Data models Deep neural network deep neural network (DNN) Deep neural networks Estimation Ethical aspects ethics Ethics fairness estimation Fairness estimation Feature extraction Features extraction Machine learning machine learning (ML) Machine learning models Maximum likelihood estimation Maximum-likelihood estimation Neural networks Neural-networks Philosophical aspects Predictive models unsupervised learning. Unsupervised learning.
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BENN: Bias Estimation Using a Deep Neural Network

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