Argumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For Us
Computational argumentation offers formal frameworks for transparent, verifiable reasoning but has traditionally been limited by its reliance on domain-specific information and extensive feature engineering. In contrast, LLMs excel at processing unstructured text, yet their opaque nature makes their reasoning difficult to evaluate and trust. We argue that the convergence of these fields will lay the foundation for a new paradigm: Argumentative Human-AI Decision-Making. We analyze how the synergy of argumentation framework mining, argumentation framework synthesis, and argumentative reasoning enables agents that do not just justify decisions, but engage in dialectical processes where decis...
| Authors | Stylianos Loukas Vasileiou, Antonio Rago, Francesca Toni et al. |
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| Primary category | cs.AI |
| Published | 16 March 2026 |
| Last updated at source | 16 March 2026 |
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