Research2h ago
New Framework For Contestable Evaluative AI
Paper 2608.07473v1 proposes using computational argumentation to build Evaluative AI. Instead of single recommendations, the system presents competing hypotheses with supporting and opposing evidence. This formal foundation makes AI decisions explainable and contestable. Researchers can now move toward distributed, human-centered systems that prioritize evidence over black-box predictions for complex decision-making tasks.