用论证计算框架支撑可解释、可争议的AI决策支持
Towards an Argumentative Foundation for Evaluative AI
- 以计算论证为框架，构建可形式化、可计算的评估型AI基础
- 支持多假说并列呈现，同时提供正反证据，促进人机协作决策
- 适合需要透明、可辩论的AI应用，如医疗、司法等高风险领域
评估型AI（EAI）被提出作为辅助人类决策的新方式：不给出单一推荐，而是同时呈现多个竞争性假设及其支持与反对的证据。本文主张，计算论证是建立此类可解释、可争议的EAI形式的理想范式，能够为其提供正式且可计算的基础，为未来分布式、以人为本的EAI系统奠定长期研究基础。
原文摘要 · Abstract (English)
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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