Preference for Explainable AI, NBER Working Paper 35240 by Alex Chan, studies participants acting as loan officers on real $10,000 loans from a US lender. The May 2026 paper finds that explanations revealing demographic penalties made participants more likely to override the AI recommendation. When bonuses depended on repayment, participants sought predictions but avoided explanations under some experimental conditions. A secondary experiment examines difficulty recognising when explanations improve decisions.