Modeling and Discovering Direct Causes for Predictive Models

We introduce a causal modeling framework that captures the input-output behavior of predictive models (e.g., machine learning models). The framework enables us to identify features that directly cause the predictions, which has broad implications for data collection and model evaluation. We then pre...

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Bibliographic Details

Published in:	Proceedings of the International Florida Artificial Intelligence Research Society Conference Vol. 38; no. 1
Main Authors:	Chen, Yizuo, Bhatia, Amit
Format:	Journal Article
Language:	English
Published:	LibraryPress@UF 14.05.2025
Subjects:	causal models Causality explainability
ISSN:	2334-0754, 2334-0762
Online Access:	Get full text
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