Incentive and Information Frictions in Algorithmic Legal Commands

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.