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Report NEP-AIN-2025-03-03
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:
- Yan Liu & He Wang, 2024, "Who on Earth Is Using Generative AI ?," Policy Research Working Paper Series, The World Bank, number 10870, Aug.
- Stefania Albanesi & António Dias da Silva & Juan F. Jimeno & Ana Lamo & Alena Wabitsch, 2025, "AI and Women's Employment in Europe," NBER Working Papers, National Bureau of Economic Research, Inc, number 33451, Feb.
- Gmyrek, Pawel & Winkler, Hernan & Garganta, Santiago, 2024, "Buffer or Bottleneck ? Employment Exposure to Generative AI and the Digital Divide in Latin America," Policy Research Working Paper Series, The World Bank, number 10863, Jul.
- Yan Liu, 2024, "Generative AI : Catalyst for Growth or Harbinger of Premature De-Professionalization ?," Policy Research Working Paper Series, The World Bank, number 10915, Sep.
- Item repec:osf:socarx:aq4tw_v1 is not listed on IDEAS anymore
- Altunay, Paul-Christoph & Vetter, Oliver A., 2024, "New Game, New Rules? Investor Ecosystem Effects on AI Startup Success," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 152916.
- Item repec:osf:socarx:6dfk3_v1 is not listed on IDEAS anymore
- Hötte, Kerstin & Tarannum, Taheya & Verendel, Vilhelm & Bennett, Lauren, 2024, "Measuring artificial intelligence: A systematic assessment and implications for governance," INET Oxford Working Papers, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, number 2024-02, Mar.
- Pat Pataranutaporn & Nattavudh Powdthavee & Pattie Maes, 2025, "Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality," Papers, arXiv.org, number 2501.19407, Jan, revised Feb 2025.
- Moisio, Pasi & Mesiäislehto, Merita & Peltoniemi, Johanna & Pihlajamäki, Mika & Hiilamo, Heikki, 2024, "How the General Benefit Reform Emerged in Finland: A Critical Analysis Using Large Language Models in Policy Research," SocArXiv, Center for Open Science, number ab8mr_v1, Oct, DOI: 10.31219/osf.io/ab8mr_v1.
- Christian Fieberg & Lars Hornuf & Maximilian Meiler & David J. Streich, 2025, "Using Large Language Models for Financial Advice," CESifo Working Paper Series, CESifo, number 11666.
- Ziyao Zhou & Ronitt Mehra, 2025, "An End-To-End LLM Enhanced Trading System," Papers, arXiv.org, number 2502.01574, Feb.
- Rajesh P. Narayanan & R. Kelley Pace, 2025, "Can the Nexus of Scaling Laws Coupled with Constant or Variable Elasticity of Substitution Predict AI and Other Technology Adoption?," Papers, arXiv.org, number 2502.00909, Feb.
- Kamer Ali Yuksel & Hassan Sawaf, 2025, "AlphaSharpe: LLM-Driven Discovery of Robust Risk-Adjusted Metrics," Papers, arXiv.org, number 2502.00029, Jan, revised Feb 2025.