Causation and Argumentation

Causality is a feature in a socio-economical context rapidly moving towards an ethical use of robust artificial intelligence. The primary link between cau- sation and argumentation, especially in AI, stems from the fundamental role of causality in explanations, as argued in several works in the explainable arti- ficial intelligence literature. In this sense, theories of causation naturally sug- gest themselves as an essential component of explainable artificial intelligence. Causality also directly supports what-if and counterfactual reasoning, funda- mental components for fair, robust, and resilient use of artificial intelligence tools and systems. Because of its connection with the enquiry, persuasion, and negotiation monologues and dialogues, this article popularizes the fundamental concepts of causality for the computational argumentation research community. It also accounts for the approaches to address research questions at the heart of both argumentation and causality communities, including the connections between causal models and formal argumentation approaches.

Authors

• Alexander Bochman
• Federico Cerutti
• Tjitze Rienstra

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