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Report NEP-AIN-2026-04-27
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:
- Polachek, Solomon & Romano, Kenneth & Tonguc, Ozlem, 2026, "Strategic Reasoning and Sensitivity to Stakes in the Dictator and Ultimatum Games: LLMs vs. Human Proposers," IZA Discussion Papers, IZA Network @ LISER, number 18545, Apr.
- Shuhuai Zhang & Shu Wang & Zijun Yao & Chuanhao Li & Xiaozhi Wang & Songfa Zhong & Tracy Xiao Liu, 2026, "Understanding the Mechanism of Altruism in Large Language Models," Papers, arXiv.org, number 2604.19260, Apr.
- Irlenbusch, Bernd & Rau, Holger & Rilke, Rainer, 2026, "Human-AI Evaluation and Gender Transparency: Application Decisions in Competitive Hiring," IZA Discussion Papers, IZA Network @ LISER, number 18517, Apr.
- Shilei Luo & Zhiqi Zhang & Hengchen Dai & Dennis Zhang, 2026, "Behavioral Transfer in AI Agents: Evidence and Privacy Implications," Papers, arXiv.org, number 2604.19925, Apr.
- Kevin Michael Frick, 2026, "Convergence to collusion in algorithmic pricing," Papers, arXiv.org, number 2604.15825, Apr.
- Spyros Galanis, 2026, "Information Aggregation with AI Agents," Papers, arXiv.org, number 2604.20050, Apr, revised May 2026.
- Nattavudh Powdthavee, 2026, "Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure," Papers, arXiv.org, number 2604.20652, Apr, revised Apr 2026.
- Milovanska-Farrington, Stefani & Tomberlin, Caleb, 2026, "AI-Enhanced Test Preparation and Student Performance: Evidence from an Introductory Economics Class," IZA Discussion Papers, IZA Network @ LISER, number 18522, Apr.
- Santoleri Pietro & Rentocchini Francesco & Lelli Francesco, 2026, "LLM-assisted proposal writing in competitive R&D funding: Evidence from Horizon Europe," JRC Working Papers on Territorial Modelling and Analysis, Joint Research Centre, number 2026-02, Mar.
- Kumar Rishabh & Vatsala Shreeti, 2026, "The geography of AI firms," BIS Working Papers, Bank for International Settlements, number 1343, Apr.
- Duran-Vanegas, Juan, 2026, "Early AI Adoption and Firm Productivity Growth in a Middle-Income Economy: Evidence from Colombia," SocArXiv, Center for Open Science, number 64nmf_v1, Apr, DOI: 10.31219/osf.io/64nmf_v1.
- Golo Henseke, 2026, "From Exposure to Adoption: Generative AI in European Workplaces," Papers, arXiv.org, number 2604.18849, Apr, revised Apr 2026.
- Casas Pablo & Fernandez Macias Enrique & Martinez Plumed Fernando & Gomez Emilia & Gonzalez Vazquez Ignacio & Salotti Simone, 2026, "Revisiting the occupational impact of AI in the generative AI era," JRC Working Papers on Labour, Education and Technology, Joint Research Centre, number 2026-02, Mar.
- Bryson, Alex & Kauhanen, Antti & Rouvinen, Petri, 2026, "AI and Worker Well-Being: Evidence from a Nationally Representative Study," IZA Discussion Papers, IZA Network @ LISER, number 18540, Apr.
- Maxime Saxena & Marco Pangallo & Cars Hommes & Fabio Caccioli & R. Maria del Rio-Chanona, 2026, "Machine Spirits: Speculation and Adaptation of LLM Agents in Asset Markets," Papers, arXiv.org, number 2604.18602, Apr, revised Apr 2026.
- Andrew Y. Chen, 2026, "Hedging the Singularity," Papers, arXiv.org, number 2604.16997, Apr.
- Donggyu Lee & Hyeok Yun & Jungwon Kim & Junsik Min & Sungwon Park & Sangyoon Park & Jihee Kim, 2026, "Ideological Bias in LLMs' Economic Causal Reasoning," Papers, arXiv.org, number 2604.21334, Apr.
- Shumiao Ouyang & Pengfei Sui, 2026, "Dissecting AI Trading: Behavioral Finance and Market Bubbles," Papers, arXiv.org, number 2604.18373, Apr.
- Irene Aldridge & Jolie An & Riley Burke & Michael Cao & Chia-Yi Chien & Kexin Deng & Ruipeng Deng & Yichen Gao & Olivia Guo & Shunran He & Zheng Li & George Lin & Weihang Lin & Percy Lyu & Alex Ng & Q, 2026, "Agentic Artificial Intelligence in Finance: A Comprehensive Survey," Papers, arXiv.org, number 2604.21672, Apr.
- Simone Lenzu, 2026, "Artificial Intelligence and Monetary Policy: A Framework and Perspective on Cyclical Transmission, Structural Transition, and Financial Stability," Staff Reports, Federal Reserve Bank of New York, number 1192, Apr, DOI: 10.59576/sr.1192.