H Human–AI Coevolution

Entry

Embracing AI Advisors for Making (Complex) Financial Decisions: An Experimental Investigation of the Role of a Maximizing Decision-Making Style

Dietrich Silber, Arvid Hoffmann, Alex Belli

Synopsis

Experimental study priming a maximizing decision style and measuring willingness to use AI advisors for retirement-portfolio construction. Maximizing tendencies increase perceived algorithmic effectiveness, which reduces algorithm aversion, ultimately boosting AI-advisor use. Suggests that "optimization" messaging can shift client uptake of AI advice.

Keywords

·robo-advice ·maximizing style ·algorithm aversion ·retirement portfolios ·financial decision-making

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