dailyai.report

A new position paper proposes computational argumentation as the formal foundation for Evaluative AI. Instead of single recommendations, this system presents competing hypotheses with supporting and opposing evidence. The approach makes AI decisions explainable and contestable. Researchers can now build distributed systems that support human decision-making without relying on opaque, single-answer model outputs.