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Report NEP-AIN-2025-01-20
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, 2024, "Homo-Silicus: Not (Yet) a Good Imitator of Homo Sapiens or Homo Economicus," IZA Discussion Papers, IZA Network @ LISER, number 17521, Dec.
- Item repec:iza:izadps:dp17511 is not listed on IDEAS anymore
- Manuel Hoffmann & Sam Boysel & Frank Nagle & Sida Peng & Kevin Xu, 2024, "Generative AI and the Nature of Work," CESifo Working Paper Series, CESifo, number 11479.
- Voraprapa Nakavachara & Tanapong Potipiti & Thanee Chaiwat, 2025, "Experimenting with Generative AI: Does ChatGPT Really Increase Everyone’s Productivity?," PIER Discussion Papers, Puey Ungphakorn Institute for Economic Research, number 229, Jan.
- David J. Deming & Christopher Ong & Lawrence H. Summers, 2025, "Technological Disruption in the Labor Market," NBER Working Papers, National Bureau of Economic Research, Inc, number 33323, Jan.
- Venkat Ram Reddy Ganuthula, 2024, "Agency-Driven Labor Theory: A Framework for Understanding Human Work in the AI Age," Papers, arXiv.org, number 2501.01448, Dec.
- Yuval Rymon, 2024, "Societal Adaptation to AI Human-Labor Automation," Papers, arXiv.org, number 2501.03092, Dec.
- Lennart Ante & Aman Saggu, 2025, "Quantifying A Firm's AI Engagement: Constructing Objective, Data-Driven, AI Stock Indices Using 10-K Filings," Papers, arXiv.org, number 2501.01763, Jan.
- Flavio Calvino & Luca Fontanelli, 2024, "AI Users Are Not All Alike: The Characteristics of French Firms Buying and Developing AI," CESifo Working Paper Series, CESifo, number 11466.
- Bruno Deffains & Frédéric Marty, 2025, "Generative Artificial Intelligence and Revolution of Market for Legal Services," GREDEG Working Papers, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, number 2025-01, Jan.
- Cova, Joshua & Schmitz, Luuk, 2024, "A primer for the use of classifier and generative large language models in social science research," OSF Preprints, Center for Open Science, number r3qng, Dec, DOI: 10.31219/osf.io/r3qng.
- Galasso, Vincenzo & Nannicini, Tommaso & Nozza, Debora, 2024, "We Need to Talk: Audio Surveys and Information Extraction," IZA Discussion Papers, IZA Network @ LISER, number 17488, Nov.
- Aromí J. Daniel & Heymann Daniel, 2024, "Synthetic surveys of monetary policymakers: perceptions, narratives and transparency," Asociación Argentina de Economía Política: Working Papers, Asociación Argentina de Economía Política, number 4707, Nov.
- Leek, Lauren Caroline & Bischl, Simeon, 2024, "How Central Bank Independence Shapes Monetary Policy Communication: A Large Language Model Application," SocArXiv, Center for Open Science, number yrhka, Nov, DOI: 10.31219/osf.io/yrhka.
- Li, Chao & Keeley, Alexander Ryota & Takeda, Shutaro & Seki, Daikichi & Managi, Shunsuke, 2024, "ESG Tendencies from News - Investigated by AI Trained by Human Intelligence," MPRA Paper, University Library of Munich, Germany, number 122757, Nov.
- Brodeur, Abel & Valenta, David & Marcoci, Alexandru & Aparicio, Juan P. & Mikola, Derek & Barbarioli, Bruno & Alexander, Rohan & Deer, Lachlan & Stafford, Tom & Vilhuber, Lars & Bensch, Gunther & Gold, 2025, "Comparing Human-Only, AI-Assisted, and AI-Led Teams on Assessing Research Reproducibility in Quantitative Social Science," I4R Discussion Paper Series, The Institute for Replication (I4R), number 195.