用道德博弈机制帮消费者选咖啡，兼顾公平与效益
Kantian-Utilitarian XAI: Meta-Explained
- 双引擎实时解释：康德派查伦理违规，功利派算综合评分
- 当道德与效益冲突时，系统自动推荐接近公平的替代选项
- 适合关注伦理消费的用户，支持政策透明可审计
我们提出一种游戏化的可解释AI（XAI）系统，用于咖啡消费中的伦理决策。每轮包含六个回合，每回合有三个选项。两个符号引擎提供实时解释：康德模块检测规则违规（如童工、无遮荫认证的森林砍伐风险、供应链不透明、不安全的脱咖啡因处理），功利模块通过归一化属性的多准则聚合对选项打分（价格、碳排放、用水量、透明度、农民收入份额、风味/新鲜度、包装、便利性）。一个具有后悔界（0.2）的元解释器突出显示康德-功利之间的矛盾，并在福利损失较小时切换至道义上干净、接近均等的选项。我们发布了结构化配置（属性模式、认证映射、权重、规则集）、可审计的策略轨迹和交互式界面。
原文摘要 · Abstract (English)
We present a gamified explainable AI (XAI) system for ethically aware consumer decision-making in the coffee domain. Each session comprises six rounds with three options per round. Two symbolic engines provide real-time reasons: a Kantian module flags rule violations (e.g., child labor, deforestation risk without shade certification, opaque supply chains, unsafe decaf), and a utilitarian module scores options via multi-criteria aggregation over normalized attributes (price, carbon, water, transparency, farmer income share, taste/freshness, packaging, convenience). A meta-explainer with a regret bound (0.2) highlights Kantian--utilitarian (mis)alignment and switches to a deontically clean, near-parity option when welfare loss is small. We release a structured configuration (attribute schema, certification map, weights, rule set), a policy trace for auditability, and an interactive UI.
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