Paper 2608.07473v1 proposes using computational argumentation to build Evaluative AI. Instead of single recommendations, this framework presents competing hypotheses with supporting and opposing evidence. It aims to make AI decisions contestable and explainable. Researchers can use this formal foundation to develop distributed systems that prioritize human-centered decision support over black-box outputs.