Working Group 7 | Automatically Mapping Rigorous Disource @ Intelligent Cooperation Workshop

Working group seven’s discussion revolved around automatically mapping rigorous discourse using AI and machine learning. They aimed to automate the process of generating deliberation and argument maps from various forms of media, including text, podcasts, and videos. They had a proof of concept and a proven methodology that can improve the comprehensiveness and integrity of the maps. Their structured deliberation graphs could be used for decision-making, knowledge reference, prediction markets, and improving AI’s logical reasoning. They mentioned the availability of existing staff to start working on the project. The group also discussed the complexity of argumentation and how their tool can handle both simple and complex arguments. Furthermore, the flexibility of their knowledge graph in representing different linguistic registers is also shown. Finally, they do also address the issue of uncertainty and probability, stating that they currently do not incorporate probabilistic thinking in their knowledge graph, as they prioritize maximizing relevant information and context before assessing the likelihood of a claim being true.