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arXiv · 2609.07358

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

Paul Althaus·Leon Houf·Christiane Schwieren
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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.

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BibTeXRIS

Paul Althaus, Leon Houf, Christiane Schwieren. 2026-09-07. Access to Live AI Advice and Behavior Under Risk: An Incentivized Experiment. https://arxiv.org/abs/2609.07358

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