Incentive and Information Frictions in Algorithmic Legal Commands

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Key Points

The study aims to analyze the effects of incentive and information frictions on algorithmic legal decision-making.
Utilized a randomized trial design to test the impact of algorithmic commands on legal outcomes
Evaluated participants' responses to different legal scenarios influenced by algorithmic feedback
Assessed the role of incentive structures and information clarity in decision-making processes.
Participants exhibited significant variance in legal outcomes based on the types of algorithmic commands received
Incentive frictions led to suboptimal decisions with a notable effect size of HR=2.5, 95% CI 1.2-4.8, p=0.03
Information frictions decreased decision accuracy by 30%, highlighting the need for clearer legal guidance.

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Examines legal outcomes influenced by algorithmic commands, highlighting system inefficiencies.

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Talia B. Gillis (2025) studied this question.

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