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Report NEP-AIN-2026-04-13
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:
- van Loon, Austin & Kanopka, Klint, 2026, "Using large language models as a source of human behavioral data in social science experiments," SocArXiv, Center for Open Science, number y74mu_v1, Apr, DOI: 10.31219/osf.io/y74mu_v1.
- Zhenyu Gao & Wenxi Jiang & Yutong Yan, 2026, "Debiasing LLMs by Fine-tuning," Papers, arXiv.org, number 2604.02921, Apr, revised May 2026.
- Gallegos, Sebastian, 2026, "Guidance Over Adoption: Experimental Evidence on AI-Assisted Learning," IZA Discussion Papers, IZA Network @ LISER, number 18513, Apr.
- Cristian Espinal Maya, 2026, "Measuring What Cannot Be Surveyed: LLMs as Instruments for Latent Cognitive Variables in Labor Economics," Papers, arXiv.org, number 2604.02403, Apr.
- Jessica Liu & Douglas A. Webber, 2026, "AI Adoption and Firms’ Job-Posting Behavior," FEDS Notes, Board of Governors of the Federal Reserve System (U.S.), number 2026-03-27, Mar, DOI: 10.17016/2380-7172.4026.
- Lodefalk, Magnus & Löthman, Lydia & Koch, Michael & Engberg, Erik, 2026, "Same Storm, Different Boats: Generative AI and the Age Gradient in Hiring," Ratio Working Papers, The Ratio Institute, number 388, Mar.
- Shuyao Gao & Minghao Huang, 2026, "Bounded by Risk, Not Capability: Quantifying AI Occupational Substitution Rates via a Tech-Risk Dual-Factor Model," Papers, arXiv.org, number 2604.04464, Apr.
- Leland D. Crane & Paul E. Soto, 2026, "AI and Coder Employment: Compiling the Evidence," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2026-018, Mar, DOI: 10.17016/FEDS.2026.018.
- Daron Acemoglu & Tianyi Lin & Asuman Ozdaglar & James Siderius, 2026, "How AI Aggregation Affects Knowledge," NBER Working Papers, National Bureau of Economic Research, Inc, number 35036, Apr.
- Ning Li, 2026, "The Ideation Bottleneck: Decomposing the Quality Gap Between AI-Generated and Human Economics Research," Papers, arXiv.org, number 2604.03338, Apr.
- Claudia Collodoro & Lucrezia Fanti & Jacopo Staccioli & Maria Enrica Virgillito, 2026, "AI Worker Management technologies in traditional industries," DISCE - Working Papers del Dipartimento di Politica Economica, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE), number dipe0056, Jan.
- Hanming Fang & Xian Gu & Hanyin Yan & Wu Zhu, 2026, "AI Patents in the United States and China: Measurement, Organization, and Knowledge Flows," NBER Working Papers, National Bureau of Economic Research, Inc, number 35022, Apr.
- Shuchen Meng & Xupeng Chen, 2026, "Artificial Intelligence and Systemic Risk: A Unified Model of Performative Prediction, Algorithmic Herding, and Cognitive Dependency in Financial Markets," Papers, arXiv.org, number 2604.03272, Mar.
- Jaden Zhang & Gardenia Liu & Oliver Johansson & Hileamlak Yitayew & Kamryn Ohly & Grace Li, 2026, "Prediction Arena: Benchmarking AI Models on Real-World Prediction Markets," Papers, arXiv.org, number 2604.07355, Mar.
- Owen Kay & Robert Reaser & Reid Taylor, 2026, "Processing Power: The Effect of Data Centers on Wholesale Electricity Markets," Working Papers, Federal Reserve Bank of Dallas, number 2606, Mar, DOI: 10.24149/wp2606.