Report NEP-AIN-2024-11-18

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:

• Daniel Albert & Stephan Billinger, 2024. "Reproducing and Extending Experiments in Behavioral Strategy with Large Language Models," Papers 2410.06932, arXiv.org.
• Jonathan J Adams & Min Fang & Zheng Liu & Yajie Wang, 2024. "The Rise of AI Pricing: Trends, Driving Forces, and Implications for Firm Performance," Working Papers 001015, University of Florida, Department of Economics.
• Raphael Auer & David Köpfer & Josef Švéda & Raphael A. Auer, 2024. "The Rise of Generative AI: Modelling Exposure, Substitution, and Inequality Effects on the US Labour Market," CESifo Working Paper Series 11410, CESifo.
• Mühlemann, Samuel, 2024. "AI Adoption and Workplace Training," IZA Discussion Papers 17367, Institute of Labor Economics (IZA).
• MORIKAWA Masayuki, 2024. "Use of Artificial Intelligence and Productivity: Evidence from firm and worker surveys," Discussion papers 24074, Research Institute of Economy, Trade and Industry (RIETI).
• Aivin V. Solatorio & Gabriel Stefanini Vicente & Holly Krambeck & Olivier Dupriez, 2024. "Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers," Papers 2410.10665, arXiv.org.
• Podrecca, Matteo & Culot, Giovanna & Tavassoli, Sam & Orzes, Guido, 2024. "Artificial intelligence for climate change: a patent analysis in the manufacturing sector," Papers in Innovation Studies 2024/12, Lund University, CIRCLE - Centre for Innovation Research.
• Popoola, Osuolale Peter, 2024. "Artificial Intelligence for Official Statistics: Opportunities, Practical Uses and, Challenges," EconStor Research Reports 305190, ZBW - Leibniz Information Centre for Economics.
• Nicola Giannelli, 2024. "The European Union policy design for AI regulation," Working Papers 2402, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2024.
• Francesco Audrino & Jessica Gentner & Simon Stalder, 2024. "Quantifying uncertainty: a new era of measurement through large language models," Working Papers 2024-12, Swiss National Bank.
• Timothy DeStefano & Nick Johnstone & Richard Kneller & Jonathan Timmis, 2024. "Do Capital Incentives Distort Technology Diffusion? Evidence on Cloud, Big Data and AI," CESifo Working Paper Series 11369, CESifo.
• Yuzhe Yang & Yifei Zhang & Yan Hu & Yilin Guo & Ruoli Gan & Yueru He & Mingcong Lei & Xiao Zhang & Haining Wang & Qianqian Xie & Jimin Huang & Honghai Yu & Benyou Wang, 2024. "UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models," Papers 2410.14059, arXiv.org, revised Oct 2024.
• Namid R. Stillman & Rory Baggott, 2024. "Neuro-Symbolic Traders: Assessing the Wisdom of AI Crowds in Markets," Papers 2410.14587, arXiv.org.