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Report NEP-AIN-2026-03-09
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:
- Rilke, Rainer & Sliwka, Dirk, 2026, "When Algorithms Rate Performance: Do Large Language Models Replicate Human Evaluation Biases?," IZA Discussion Papers, IZA Network @ LISER, number 18371, Feb.
- Foltyn, Richard & Olsson, Jonna, 2026, "The Worth of a “Wo”: Gender Bias in Financial Advice from LLMs," Discussion Paper Series in Economics, Norwegian School of Economics, Department of Economics, number 4/2026, Feb.
- Douglas K.G. Araujo & Harald Uhlig, 2026, "How does AI distribute the pie? Large Language Models and the Ultimatum Game," Working Papers, Becker Friedman Institute for Research In Economics, number 2026-29.
- Bo Cowgill & Pablo Hernandez-Lagos & Nataliya Langburd Wright, 2026, "Does AI Cheapen Talk? Theory and Evidence From Global Entrepreneurship and Hiring," CESifo Working Paper Series, CESifo, number 12508.
- Saurabh Amin & Amine Bennouna & Daniel Huttenlocher & Dingwen Kong & Liang Lyu & Asuman Ozdaglar, 2026, "A Bayesian Framework for Human-AI Collaboration: Complementarity and Correlation Neglect," Papers, arXiv.org, number 2602.14331, Feb.
- Aidan Vyas, 2026, "LemonadeBench: Evaluating the Economic Intuition of Large Language Models in Simple Markets," Papers, arXiv.org, number 2602.13209, Jan.
- Christian Gschwendt & Martina Viarengo & Thea S. Zoellner, 2026, "Generative AI and Career Choices," Economics of Education Working Paper Series, University of Zurich, Department of Business Administration (IBW), number 0251, Feb.
- Wolfgang Kuhle, 2026, "Janus-Faced Technological Progress and the Arms Race in the Education of Humans and Chatbots," Papers, arXiv.org, number 2602.19783, Feb.
- Nobuyasu Suzusho, , "AI Investment and Economic Growth: Exploring the Divergence of Equilibria," KIER Working Papers, Kyoto University, Institute of Economic Research, number 1125.
- Greg Cancelada, 2025, "Generative AI, Productivity and the Future of Work," Open Vault, Federal Reserve Bank of St. Louis, number 102779, Oct.
- Francois de Soyres & Alex Haag & Mike Liu & Eva Van Leemput, 2026, "The Global Trade Effects of the AI Infrastructure Boom," FEDS Notes, Board of Governors of the Federal Reserve System (U.S.), number 2026-02-13-2, Feb, DOI: 10.17016/2380-7172.3994.
- Paola Ganum & Tohid Atashbar, 2026, "How Effectively Can Current LLMs Analyze Macrofinancial Issues?," IMF Working Papers, International Monetary Fund, number 2026/035, Feb.
- Wenxi Geng & Dingyuan Liu & Liya Li & Yiqing Wang, 2026, "Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?," Papers, arXiv.org, number 2602.18895, Feb.
- Wentao Zhang & Mingxuan Zhao & Jincheng Gao & Jieshun You & Huaiyu Jia & Yilei Zhao & Bo An & Shuo Sun, 2026, "AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models," Papers, arXiv.org, number 2602.18481, Feb.
- da Silva, Lucas Paulo, 2026, "Measuring Online Media Ideology with Large Language Models and "Multi-Cue Classification"," SocArXiv, Center for Open Science, number zmtqp_v1, Feb, DOI: 10.31219/osf.io/zmtqp_v1.
- L. Randall Wray, 2026, "Artificial Intelligence: Friend, Foe, Fraud," Economics Working Paper Archive, Levy Economics Institute, number wp_1107, Feb.