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Towards an Argumentative Foundation for Evaluative AI

A position paper submitted to arXiv on 25 Apr 2026 advocates computational argumentation as a formal foundation for Evaluative AI (EAI), a decision-support approach that presents competing hypotheses with evidence rather than a single recommendation. The authors argue that argumentation enables explainable and contestable EAI, setting a research agenda for distributed and human-centred systems.

read1 min views1 publishedAug 11, 2026
Towards an Argumentative Foundation for Evaluative AI
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[Submitted on 25 Apr 2026]


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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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