A multidisciplinary survey on discrimination analysis
The collection and analysis of observational and experimental data represent the main tools
for assessing the presence, the extent, the nature, and the trend of discrimination …
for assessing the presence, the extent, the nature, and the trend of discrimination …
Fairness-aware classifier with prejudice remover regularizer
With the spread of data mining technologies and the accumulation of social data, such
technologies and data are being used for determinations that seriously affect individuals' …
technologies and data are being used for determinations that seriously affect individuals' …
Data preprocessing techniques for classification without discrimination
Abstract Recently, the following Discrimination-Aware Classification Problem was
introduced: Suppose we are given training data that exhibit unlawful discrimination; eg …
introduced: Suppose we are given training data that exhibit unlawful discrimination; eg …
Causal fairness analysis: a causal toolkit for fair machine learning
Decision-making systems based on AI and machine learning have been used throughout a
wide range of real-world scenarios, including healthcare, law enforcement, education, and …
wide range of real-world scenarios, including healthcare, law enforcement, education, and …
Fairness-aware learning through regularization approach
With the spread of data mining technologies and the accumulation of social data, such
technologies and data are being used for determinations that seriously affect people's lives …
technologies and data are being used for determinations that seriously affect people's lives …
Database meets artificial intelligence: A survey
Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …
make database more intelligent (AI4DB). For example, traditional empirical database …
A methodology for direct and indirect discrimination prevention in data mining
S Hajian, J Domingo-Ferrer - IEEE transactions on knowledge …, 2012 - ieeexplore.ieee.org
Data mining is an increasingly important technology for extracting useful knowledge hidden
in large collections of data. There are, however, negative social perceptions about data …
in large collections of data. There are, however, negative social perceptions about data …
Causal fairness analysis
Decision-making systems based on AI and machine learning have been used throughout a
wide range of real-world scenarios, including healthcare, law enforcement, education, and …
wide range of real-world scenarios, including healthcare, law enforcement, education, and …
Managing bias and unfairness in data for decision support: a survey of machine learning and data engineering approaches to identify and mitigate bias and …
The increasing use of data-driven decision support systems in industry and governments is
accompanied by the discovery of a plethora of bias and unfairness issues in the outputs of …
accompanied by the discovery of a plethora of bias and unfairness issues in the outputs of …
k-NN as an implementation of situation testing for discrimination discovery and prevention
With the support of the legally-grounded methodology of situation testing, we tackle the
problems of discrimination discovery and prevention from a dataset of historical decisions by …
problems of discrimination discovery and prevention from a dataset of historical decisions by …