Research1h ago
New Framework For Contestable Evaluative AI
Paper 2608.07473v1 proposes using computational argumentation as the formal foundation for Evaluative AI. Instead of single recommendations, this approach presents competing hypotheses with supporting and opposing evidence. It prioritizes explainability over simple output. This framework allows practitioners to build systems where AI decisions are formally contestable and transparent to human users.