Jaime Sevilla
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2020
Explaining data using causal Bayesian networks
Jaime Sevilla
2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence
I introduce Causal Bayesian Networks as a formalism for representing and explaining probabilistic causal relations, review the state of the art on learning Causal Bayesian Networks and suggest and illustrate a research avenue for studying pairwise identification of causal relations inspired by graphical causality criteria.