A new position paper advocates for computational argumentation to provide a formal foundation for Evaluative AI. Instead of single recommendations, this framework presents competing hypotheses with supporting and opposing evidence. This approach makes AI decisions contestable. Practitioners can use these formal structures to build more transparent, human-centered decision support systems.