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We present DR-HAI -- a novel argumentation-based framework designed to extendmodel reconciliation approaches, commonly used in human-aware planning, forenhanced human-AI interaction. By adopting an argumentation-based dialogueparadigm, DR-HAI enables interactive reconciliation to address knowledgediscrepancies between an explainer and an explainee. We formally describe theoperational semantics of DR-HAI, provide theoretical guarantees, andempirically evaluate its efficacy. Our findings suggest that DR-HAI offers apromising direction for fostering effective human-AI interactions.

DR-HAI: Argumentation-based Dialectical Reconciliation in Human-AI Interactions