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Report NEP-AIN-2023-09-25
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:
- Xu Han & Zengqing Wu & Chuan Xiao, 2023, ""Guinea Pig Trials" Utilizing GPT: A Novel Smart Agent-Based Modeling Approach for Studying Firm Competition and Collusion," Papers, arXiv.org, number 2308.10974, Aug, revised Jan 2024.
- Gary Charness & Brian Jabarian & John List, 2023, "Generation Next: Experimentation with AI," Artefactual Field Experiments, The Field Experiments Website, number 00777.
- Quentin Gallea, 2023, "From Mundane to Meaningful: AI's Influence on Work Dynamics -- evidence from ChatGPT and Stack Overflow," Papers, arXiv.org, number 2308.11302, Aug.
- Qin Chen & Jinfeng Ge & Huaqing Xie & Xingcheng Xu & Yanqing Yang, 2023, "Large Language Models at Work in China's Labor Market," Papers, arXiv.org, number 2308.08776, Aug, revised May 2025.
- Rick Steinert & Saskia Altmann, 2023, "Linking microblogging sentiments to stock price movement: An application of GPT-4," Papers, arXiv.org, number 2308.16771, Aug.
- Andres Alonso-Robisco & Jose Manuel Carbo, 2023, "Analysis of CBDC Narrative OF Central Banks using Large Language Models," Working Papers, Banco de España, number 2321, Aug, DOI: https://doi.org/10.53479/33412.
- Hansen, Sakina & Loftus, Joshua, 2023, "Model-agnostic auditing: a lost cause?," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 120114, Jul.
- Joao Felix & Michel Alexandre & Gilberto Tadeu Lima, 2023, "Applying Machine Learning Algorithms to Predict the Size of the Informal Economy," Working Papers, Department of Economics, University of São Paulo (FEA-USP), number 2023_10, Aug, revised 11 Sep 2023.
- Reinking, Ernst & Becker, Marco, 2023, "Opportunities for business use of today's AI models - Rapidly achievable personalization of Large Language Models (like ChatGPT) in times of Industry 5.0," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 275738.