A Revealed Preference Framework for AI Alignment

Elchin Suleymanov

Papers from arXiv.org

Abstract: Human decision makers increasingly delegate choices to AI agents, raising a natural question: does the AI implement the human principal's preferences or pursue its own? To study this question using revealed preference techniques, I introduce the Luce Alignment Model, where the AI's choices are a mixture of two Luce rules, one reflecting the human's preferences and the other the AI's. I show that the AI's alignment (similarity of human and AI preferences) can be generically identified in two settings: the laboratory setting, where both human and AI choices are observed, and the field setting, where only AI choices are observed.

Date: 2026-03
New Economics Papers: this item is included in nep-ain, nep-dcm and nep-mic
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