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Report NEP-AIN-2026-01-12
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:
- von Zahn, Moritz & Liebich, Lena & Jussupow, Ekaterina & Hinz, Oliver & Bauer, Kevin, 2025, "Knowing (not) to know: Explainable artificial intelligence and human metacognition," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 464, DOI: 10.2139/ssrn.5383106.
- Nobuyuki Hanaki & Bolin Mao & Tiffany Tsz Kwan Tse & Wenxin Zhou, 2024, "Valuing Algorithms Over Experts: Evidence from a Stock Price Forecasting Experiment," ISER Discussion Paper, Institute of Social and Economic Research, The University of Osaka, number 1268r, Dec, revised Jul 2025.
- Hangcheng Zhao & Ron Berman, 2025, "Strategic Response of News Publishers to Generative AI," Papers, arXiv.org, number 2512.24968, Dec, revised Apr 2026.
- Walter, Johannes, 2025, "Using AI persuasion to reduce political polarization," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 25-071.
- Christos Makridis & Christos A. Makridis, 2025, "The Labor Market Effect of Generative Artificial Intelligence on Artists," CESifo Working Paper Series, CESifo, number 12368.
- Melanie Arntz & Myriam Baum & Eduard Brüll & Ralf Dorau & Matthias Hartwig & Britta Matthes & Sophie-Charlotte Meyer & Oliver Schlenker & Anita Tisch & Sascha Wischniewski, 2025, "Low Barriers, High Stakes: Formal and Informal Diffusion of AI in the Workplace," ifo Working Paper Series, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 422.
- Zoë B. Cullen & Ester Faia & Elisa Guglielminetti & Ricardo Perez-Truglia & Concetta Rondinelli, 2025, "The Innovation Race: Experimental Evidence on Advanced Technologies," NBER Working Papers, National Bureau of Economic Research, Inc, number 34532, Dec.
- Lapo Santarlasci & Armando Rungi & Loredana Fattorini & Nestor Maslej, 2025, "Owning the Intelligence: Global AI Patents Landscape and Europe's Quest for Technological Sovereignty," Papers, arXiv.org, number 2512.19569, Dec.
- Daniel Bjorkegren, 2025, "Market Beliefs about Open vs. Closed AI," Papers, arXiv.org, number 2512.14969, Dec, revised Jan 2026.
- Filippo Gusella & Eugenio Vicario, 2025, "Generative Agents and Expectations: Do LLMs Align with Heterogeneous Agent Models?," Working Papers - Economics, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa, number wp2025_18.rdf.
- Yuhan Hou & Tianji Rao & Jeremy Tan & Adler Viton & Xiyue Zhang & David Ye & Abhishek Kodi & Sanjana Dulam & Aditya Paul & Yikai Feng, 2025, "FedSight AI: Multi-Agent System Architecture for Federal Funds Target Rate Prediction," Papers, arXiv.org, number 2512.15728, Dec.
- Zhenyu Gao & Wenxi Jiang & Yutong Yan, 2025, "A Test of Lookahead Bias in LLM Forecasts," Papers, arXiv.org, number 2512.23847, Dec.
- Alina Voronina & Oleksandr Romanko & Ruiwen Cao & Roy H. Kwon & Rafael Mendoza-Arriaga, 2025, "Generative AI-enhanced Sector-based Investment Portfolio Construction," Papers, arXiv.org, number 2512.24526, Dec.
- Hongshen Sun & Juanjuan Zhang, 2025, "From Model Choice to Model Belief: Establishing a New Measure for LLM-Based Research," Papers, arXiv.org, number 2512.23184, Dec.