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arXiv · 2510.03892

Kantian-Utilitarian XAI: Meta-Explained

Zahra Atf·Peter R. Lewis
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Abstract

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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Zahra Atf, Peter R. Lewis. 2025-10-04. Kantian-Utilitarian XAI: Meta-Explained. https://arxiv.org/abs/2510.03892

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