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Towards Formal Fairness in Machine Learning · Study

WorkTowards Formal Fairness in Machine Learning

Alexey Ignatiev2020

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Workgreen2020

Towards Formal Fairness in Machine Learning

Alexey Ignatiev · Martin Cooper · Mohamed Siala · Emmanuel Hébrard · João P. Marques-Silva

31 citations·0/0 files stored·Lecture notes in computer science

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Ethics and Social Impacts of AI Privacy-Preserving Technologies in Data Explainable Artificial Intelligence (XAI)

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References

2012Fairness through awareness 2016Equality of Opportunity in Supervised Learning 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments 2015Certifying and Removing Disparate Impact 2017Algorithmic Decision Making and the Cost of Fairness 2018Fairness definitions explained 2018The accuracy, fairness, and limits of predicting recidivism 2017Counterfactual Fairness

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2022Improving fairness generalization through a sample-robust optimization method

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Year2020

Typeother

Published2020-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations31

Files0 public / 0

ShelfEthics and Social Impacts of AI

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doi10.1007/978-3-030-58475-7_49

openalex_workW3083540916

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