When causality meets fairness: A survey

Addressing the problem of fairness is crucial to safely using machine learning algorithms to support decisions that have a critical impact on people's lives, such as job hiring, child maltreatment, disease diagnosis, loan granting, etc. Several notions of fairness have been defined and examined...

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Bibliographic Details
Published in:	Journal of logical and algebraic methods in programming Vol. 141; p. 101000
Main Authors:	Makhlouf, Karima, Zhioua, Sami, Palamidessi, Catuscia
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.10.2024 Elsevier
Subjects:	Causal inference Causality Computer Science Counterfactual Fairness Intervention Machine learning Causal inference Intervention Counterfactual Causality Fairness Machine learning counterfactual machine learning causal inference intervention causality
ISSN:	2352-2208
Online Access:	Get full text
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