Article

Causal AI for Data Scientists: A Framework to Automate Discovery of Causal Relationships in Noisy Datasets

2025-05-22

Abstract excerpt

<title>Abstract</title> <p>In the pursuit of advancing causal discovery methodologies, this research introduces a robust framework designed to navigate environments laden with noise and latent confounding. By integrating mechanistic interpretability with causal inference, the framework facilitates the structural disentanglement of complex causal influences, enabling a more transparent understanding of underlying...

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Literature Corpus work: 171f29ba-8f8c-5bce-8268-e2b103f25fa6
DOI: 10.21203/rs.3.rs-6688070/v1

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