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arXiv · 2608.07473

Towards an Argumentative Foundation for Evaluative AI

Xiang Yin·Tim Miller·Nico Potyka·Antonio Rago·Francesca Toni
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Abstract

Evaluative AI (EAI) has been recently proposed as a way to support human decision-making, not by producing a single recommendation, but by presenting competing hypotheses together with evidence for and against each. In this position paper, we advocate (computational) argumentation as a particularly suitable paradigm to provide a formal, computable foundation for forms of EAI that are explainable and contestable, setting the ground for a long-term research agenda towards distributed and human-centred EAI systems.

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Xiang Yin, Tim Miller, Nico Potyka, Antonio Rago, Francesca Toni. 2026-04-25. Towards an Argumentative Foundation for Evaluative AI. https://arxiv.org/abs/2608.07473

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