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Report NEP-AIN-2026-01-05
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-AIN
The following items were announced in this report:
- Mert Demirer & Andrey Fradkin & Nadav Tadelis & Sida Peng, 2025, "The Emerging Market for Intelligence: Pricing, Supply, and Demand for LLMs," NBER Working Papers, National Bureau of Economic Research, Inc, number 34608, Dec.
- Radosveta Ivanova-Stenzel & Michel Tolksdorf, 2025, "Delegating in the Age of AI: Preferences for Decision Autonomy," Rationality and Competition Discussion Paper Series, CRC TRR 190 Rationality and Competition, number 558, Dec.
- Ferraz, Vinícius & Olah, Tamas & Sazedul, Ratin & Schmidt, Robert & Schwieren, Christiane, 2025, "When Artificial Minds Negotiate: Dark Personality and the Ultimatum Game in Large Language Models," Working Papers, University of Heidelberg, Department of Economics, number 0768, Dec.
- Mira Fischer & Holger A. Rau & Rainer Michael Rilke, 2025, "AI Tutoring Enhances Student Learning Without Crowding Out Reading Effort," Rationality and Competition Discussion Paper Series, CRC TRR 190 Rationality and Competition, number 557, Dec.
- Storm, Eduard & Gonschor, Myrielle & Schmidt, Marc Justin, 2025, "AI in demand: How expertise shapes its (early) impact on workers," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 1185, DOI: 10.4419/96973370.
- Massfeller, Anna & Hermann, Daniel & Leyens, Alexa & Storm, Hugo, 2025, "Are Farmers Algorithm-Averse? The Case of Decision Support Tools in Crop Management," SocArXiv, Center for Open Science, number 54khv_v1, Dec, DOI: 10.31219/osf.io/54khv_v1.
- Adhikari, Ela & Lopez, Anitza & Lin, Lifeng & Li, Fiona, 2025, "Bias, Benefit, Or Both? Surveying Perceptions Of Ai In Healthcare," SocArXiv, Center for Open Science, number q6gne_v1, Dec, DOI: 10.31219/osf.io/q6gne_v1.
- Jean Xiao Timmerman, 2025, "Artificial Intelligence Innovation by Financial Innovators: Evidence from US Patents," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2025-104, Dec, DOI: 10.17016/FEDS.2025.104.
- Jeffrey Allen & Max S. Hatfield, 2025, "Can LLMs Improve Sanctions Screening in the Financial System? Evidence from a Fuzzy Matching Assessment," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2025-092, Sep, DOI: 10.17016/FEDS.2025.092.
- Zuoyou Jiang & Li Zhao & Rui Sun & Ruohan Sun & Zhongjian Li & Jing Li & Daxin Jiang & Zuo Bai & Cheng Hua, 2025, "Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning," Papers, arXiv.org, number 2512.23515, Dec.
- Muço, Arieda, 2025, "Measuring Corruption from Text Data," SocArXiv, Center for Open Science, number cftvk_v1, Dec, DOI: 10.31219/osf.io/cftvk_v1.
- Richard Mills & Stuart Mills & Cass R. Sunstein, 2025, "ManipulationDetect: An AI Auditing Tool for Online Choice Architecture," Discussion Papers, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham, number 2025-04, Dec.