When faced with incomplete or inconsistent information, humans reason by using argumentation: by providing arguments for and against a topic and examining the relationships between these arguments, it can be decided which of them are acceptable. Within artificial intelligence (AI), the field of computational argumentation refers to the use of computational methods and tools to construct, analyse, and evaluate arguments in various fields such as law, politics and healthcare, notably for aiding transparent and interactive decision-making. Thanks to its logical foundations and rule-governed mechanisms, argumentation provides the appropriate support for computational reasoning engines, whereas the dialectical nature of argumentation and its similarity with common-sense reasoning makes it easier for users to understand its concepts. Thus, argumentation can be used by an AI system for providing explanations to its users that are close to the human way of thinking.

This tutorial delves into the domain of computational argumentation. Designed as a half-day session, the tutorial will be highly interactive, blending traditional lectures with engaging elements like games and demonstrations. Attendees will gain practical insights into how computational argumentation enhances the capabilities of AI systems. By combining theoretical foundations with interactive activities, the tutorial seeks to equip participants with a nuanced understanding of computational argumentation's practical applications and its potential to reshape the landscape of AI reasoning and decision-making. Our tutorial is targeted at students, researchers, and practitioners with an interest in human-centered AI, with no prior knowledge of computational argumentation required. The only requirement is bringing a laptop (or share one between a pair).