A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods

A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods

Causal discovery (CD) algorithms are increasingly applied to socially and ethically sensitive domains. However, their evaluation under realistic conditions remains challenging due to the scarcity of real-world datasets annotated with ground-truth causal structures. Whereas synthetic data generators...

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Bibliographic Details
Main Authors: Martina Cinquini, Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi, Riccardo Guidotti
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Fairness
bias
synthetic data generation
machine learning
causal discovery
Online Access:https://ieeexplore.ieee.org/document/11014105/
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https://ieeexplore.ieee.org/document/11014105/

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