Causal Pathway

Causal pathway analysis aims to identify and quantify the relationships between variables, revealing how changes in one variable influence others. Current research focuses on developing and applying algorithms, including Bayesian Networks and Shapley value methods, to uncover these pathways in diverse fields like healthcare (diabetes risk factors), social sciences (racial disparities), and AI (mitigating harmful model behaviors). This work is significant for improving the interpretability of complex systems, enabling more effective interventions (e.g., targeted healthcare strategies), and fostering fairer and more ethical AI applications.