Report NEP-AIN-2025-07-14

This is the archive for NEP-AIN, a report on new working papers in the area of Artificial Intelligence. Ben Greiner issued this report. It is usually issued weekly.

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Other reports in NEP-AIN

The following items were announced in this report:

• Francesca Molinari & Yiqi Liu, 2025. "Inference for an algorithmic fairness-accuracy frontier," CeMMAP working papers 13/25, Institute for Fiscal Studies.
• Sanchaita Hazra & Marta Serra-Garcia, 2025. "Understanding Trust in AI as an Information Source: Cross-Country Evidence," CESifo Working Paper Series 11954, CESifo.
• Marie Obidzinski & Yves Oytana, 2025. "Advisory algorithms, automation bias and liability rules," Working Papers 2025-08, CRESE.
• Xienan Cheng & Mustafa Dogan & Pinar Yildirim, 2025. "Artificial Intelligence in Team Dynamics: Who Gets Replaced and Why?," Papers 2506.12337, arXiv.org.
• Leland D. Crane & Akhil Karra & Paul E. Soto, 2025. "Total Recall? Evaluating the Macroeconomic Knowledge of Large Language Models," Finance and Economics Discussion Series 2025-044, Board of Governors of the Federal Reserve System (U.S.).
• Ryota IWAMOTO & Takunori ISHIHARA & Takanori IDA, 2025. "Comparing Risk Preferences and Loss Aversion in Humans and AI: A Persona-Based Approach with Fine-Tuning," Discussion papers e-25-006, Graduate School of Economics , Kyoto University.
• Johannesson, Mikael Poul & Arnesen, Sveinung, 2025. "How Using Artificial Intelligence in Public Administration Shifts Citizens’ Expectations of Street-Level Bureaucracy," SocArXiv 8r36s_v1, Center for Open Science.
• Nils H. Lehr & Pascual Restrepo, 2025. "The Price of Intelligence: How Should Socially-minded Firms Price and Deploy AI?," Cowles Foundation Discussion Papers 2445, Cowles Foundation for Research in Economics, Yale University.