Access to Live AI Advice and Behavior Under Risk: An Incentivized Experiment

Paul Althaus, Leon Houf and Christiane Schwieren

Papers from arXiv.org

Abstract: Generative AI has become an everyday advisor, and the systems people consult are live and interactive, not pre-scripted. We ask whether access to such a system changes behavior under risk. In an incentivized experiment (N = 158), participants made lottery choices with an optional decision aid presented as a conventional pre-written tool, a live one-shot AI, or a live interactive AI they could query, with information format held equivalent across conditions. Risk preferences are elicited via DOSE. We find no evidence that access to a live AI advisor changes risk aversion.

Date: 2026-09, Revised 2026-09
New Economics Papers: this item is included in nep-ain and nep-exp
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