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Online Handbook of Argumentation for AI: Volume 4
This volume contains revised versions of the papers selected for the fourth volume of the Online Handbook of Argumentation for AI (OHAAI).
Shapley-PC: Constraint-based Causal Structure Learning with Shapley Values
Causal Structure Learning (CSL), amounting to extracting causal relations among the variables in a dataset, is widely perceived as an important step towards robust and transparent models.
Causal Discovery and Knowledge Injection for Contestable Neural Networks (with Appendices)
Neural networks have proven to be effective at solving machine learning tasks but it is unclear whether they learn any relevant causal relationships, while their black-box nature makes it difficult for modellers to understand and debug them.
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