Report NEP-AIN-2025-05-19

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:

• Yuanjun Feng & Vivek Chodhary & Yash Raj Shrestha, 2025. "Human aversion? Do AI Agents Judge Identity More Harshly Than Performance," Papers 2504.13871, arXiv.org.
• Tianshi Mu & Pranjal Rawat & John Rust & Chengjun Zhang & Qixuan Zhong, 2025. "Who is More Bayesian: Humans or ChatGPT?," Papers 2504.10636, arXiv.org.
• Ji Ma, 2025. "Steering Prosocial AI Agents: Computational Basis of LLM's Decision Making in Social Simulation," Papers 2504.11671, arXiv.org.
• Ning Li & Wenming Deng & Jiatan Chen, 2025. "From G-Factor to A-Factor: Establishing a Psychometric Framework for AI Literacy," Papers 2503.16517, arXiv.org.
• Vermeer, Michael J. D. & Bonds, Tim & Lathrop, Emily & Smith, Gregory, 2025. "Averting a Robot Catastrophe: Preparing for Converging Trends in Robotics and Frontier AI," SocArXiv ymvf5_v1, Center for Open Science.
• Kristina McElheran & Mu-Jeung Yang & Zachary Kroff & Erik Brynjolfsson, 2025. "The Rise of Industrial AI in America: Microfoundations of the Productivity J-curve(s)," Working Papers 25-27, Center for Economic Studies, U.S. Census Bureau.
• Andrey Fradkin, 2025. "Demand for LLMs: Descriptive Evidence on Substitution, Market Expansion, and Multihoming," Papers 2504.15440, arXiv.org.
• Venkat Ram Reddy Ganuthula & Krishna Kumar Balaraman, 2025. "The Paradox of Professional Input: How Expert Collaboration with AI Systems Shapes Their Future Value," Papers 2504.12654, arXiv.org.
• Luca Fontanelli & Flavio Calvino & Chiara Criscuolo & Lionel Nesta & Elena Verdolini, 2024. "The role of human capital for AI adoption: Evidence from French firms," Post-Print hal-05029748, HAL.
• Cong William Lin & Wu Zhu, 2025. "Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing," Papers 2504.13629, arXiv.org.
• Naomi Hausman & Oren Rigbi & Sarit Weisburd, 2025. "Generative AI’s Impact on Student Achievement and Implications for Worker Productivity," CESifo Working Paper Series 11843, CESifo.
• Wei Jiang & Junyoung Park & Rachel (Jiqiu) Xiao & Shen Zhang, 2025. "AI and the Extended Workday: Productivity, Contracting Efficiency, and Distribution of Rents," NBER Working Papers 33536, National Bureau of Economic Research, Inc.
• Eleanor Wiske Dillon & Sonia Jaffe & Nicole Immorlica & Christopher T. Stanton, 2025. "Shifting Work Patterns with Generative AI," Papers 2504.11436, arXiv.org, revised May 2025.
• Eleanor Wiske Dillon & Sonia Jaffe & Sida Peng & Alexia Cambon, 2025. "Early Impacts of M365 Copilot," Papers 2504.11443, arXiv.org.
• Ljupcho Eftimov & Bojan Kitanovikj, 2024. "Advancing Job Design through Artificial Intelligence: Bibliometric Data-based Insights and Suggestions for Future Research," Proceedings of the 5th International Conference "Economic and Business Trends Shaping the Future" 2024 020, Faculty of Economics-Skopje, Ss Cyril and Methodius University in Skopje.
• Benjamin Laufer & Jon Kleinberg & Hoda Heidari, 2025. "The Backfiring Effect of Weak AI Safety Regulation," Papers 2503.20848, arXiv.org.
• Mfon Akpan & Adeyemi Adebayo, 2025. "Artificial Intelligence and the Dual Paradoxes: Examining the Interplay of Efficiency, Resource Consumption, and Labor Dynamics," Papers 2504.10503, arXiv.org.
• Nikhil Kumar, 2025. "Pricing AI Model Accuracy," Papers 2504.13375, arXiv.org.
• Alejandro Lopez-Lira, 2025. "Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations," Papers 2504.10789, arXiv.org.
• Zongxiao Wu & Yizhe Dong & Yaoyiran Li & Baofeng Shi, 2025. "Unleashing the power of text for credit default prediction: Comparing human-written and generative AI-refined texts," Papers 2503.18029, arXiv.org.
• Julian Junyan Wang & Victor Xiaoqi Wang, 2025. "Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks," Papers 2503.16974, arXiv.org, revised Mar 2025.
• Youngbin Lee & Yejin Kim & Suin Kim & Yongjae Lee, 2025. "Integrating LLM-Generated Views into Mean-Variance Optimization Using the Black-Litterman Model," Papers 2504.14345, arXiv.org.
• Herbert Dawid & Philipp Harting & Hankui Wang & Zhongli Wang & Jiachen Yi, 2025. "Agentic Workflows for Economic Research: Design and Implementation," Papers 2504.09736, arXiv.org.
• Zhao, Chuqing & Chen, Yisong, 2025. "LLM-powered Topic Modeling for Discovering Public Mental Health Trends in Social Media," SocArXiv xbpts_v1, Center for Open Science.
• Michael J. Yuan & Carlos Campoy & Sydney Lai & James Snewin & Ju Long, 2025. "Trust, but verify," Papers 2504.13443, arXiv.org.
• Pierre Jean-Claude Mandon, 2025. "Beyond the AI Divide : A Simple Approach to Identifying Global and Local Overperformers in AI Preparedness," Policy Research Working Paper Series 11073, The World Bank.
• García-Suaza, Andrés & Sarango Iturralde, Alexander & Caiza-Guamán, Pamela & Gil Díaz, Mateo & Acosta Castillo, Dana, 2025. "Unequal Impacts of AI on Colombia's Labor Market: An Analysis of AI Exposure, Wages, and Job Dynamics," Working papers 113, Red Investigadores de Economía.
• Sanchaita Hazra & Bodhisattwa Prasad Majumder & Tuhin Chakrabarty, 2025. "AI Safety Should Prioritize the Future of Work," Papers 2504.13959, arXiv.org.
• Luyao Zhang, 2025. "EthosGPT: Mapping Human Value Diversity to Advance Sustainable Development Goals (SDGs)," Papers 2504.09861, arXiv.org.