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Report NEP-AIN-2026-09-07
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:
- Huiying Ye & Richard S. J. Tol & Fangzhi Wang, 2026, "AI worsens climate change, integrated assessment shows," Papers, arXiv.org, number 2608.24670, Aug.
- Kevin A. Bryan & Joshua S. Gans, 2026, "Training AI For When Humans Will Use It," Papers, arXiv.org, number 2608.12538, Aug.
- Matthew O. Jackson & Benjamin S. Manning & Yutong Xie & Walter Yuan & Qiaozhu Mei, 2026, "Modeling Human Behavior with Type Vectors Using AI," Papers, arXiv.org, number 2608.18265, Aug, revised Sep 2026.
- Jorge F'abrega, 2026, "Governing Delegation to Generative Artificial Intelligence: Human Direction, Work-Related Orientation, and Modes of Use," Papers, arXiv.org, number 2608.17624, Aug.
- Rui Mao & Tingliang Huang & Houcai Shen, 2026, "Optimal Liability Design for Medical AI," Papers, arXiv.org, number 2608.03114, Aug.
- Joshua S. Gans, 2026, "Staged Access and Liability for Dual-Use Artificial Intelligence," NBER Working Papers, National Bureau of Economic Research, Inc, number 35586, Aug.
- Sebastian Galiani & Federico Ariel López & Raul A. Sosa, 2026, "AI Agents and Prompt Engineering in Econometric Coding," NBER Working Papers, National Bureau of Economic Research, Inc, number 35588, Aug.
- Ha Minh Nguyen, 2026, "Aging Economies and AI Adoption: Firm-Level Evidence from the World Bank Enterprise Surveys," IMF Working Papers, International Monetary Fund, number 2026/176, Aug.
- Cyn-Young Park & Kwanho Shin, undated, "AI Adoption, Regional Productivity, and Inflation Evidence from Korea and Implications for Monetary Policy," Working Papers, South East Asian Central Banks (SEACEN) Research and Training Centre, number wp63, revised Sep 2026.
- Fatima, Freeha & Ozen, Efsan Nas & Raju, Dhushyanth, 2026, "Artificial Intelligence and Labor Market Adjustment in Türkiye : Evidence from LinkedIn Data," The Social Policy and Labor Discussion Paper Series, The World Bank, number 209921, Apr.
- Song Yao, 2026, "Stranded Credentials: Keeping Online Reputation Systems Informative in the AI Era," Papers, arXiv.org, number 2608.17111, Aug, revised Sep 2026.
- Pattaraphon Kenny Wongchamcharoen & Kris Gulati & Min Min Fong & Abhishek Nagaraj, 2026, "CentaurBench: Benchmarking LLM Capabilities on Augmenting vs. Automating Real-World Work Tasks," Papers, arXiv.org, number 2608.18554, Aug.
- Marcinkowski, Frank & Keller, Birte & Lünich, Marco & Flaßhoff, Florian Golo, 2026, "Monitor Digital Working Society – Brief report on the fourth wave of surveys: AI is becoming increasingly embedded in everyday work: Rising usage, greater degrees of autonomy and growing concerns," SocArXiv, Center for Open Science, number 3byft_v1, Aug, DOI: 10.31235/osf.io/3byft_v1.
- Trein, Philipp & Maggetti, Martino, 2026, "Governments as Adopters and Regulators of AI: A Challenge for Democracy?," SocArXiv, Center for Open Science, number rcqbt_v1, Aug, DOI: 10.31235/osf.io/rcqbt_v1.
- Ylva Baeckström & Roman Matkovskyy, 2026, "Financial advice behaviour: humans versus AI," Post-Print, HAL, number hal-05725514, Sep, DOI: 10.1016/j.jcorpfin.2026.103044.
- Sahab Zandi & Noah Kostesku & Christophe Mues & Mar'ia 'Oskarsd'ottir & Cristi'an Bravo, 2026, "Communicating Credit Risk with Large Language Models: Evaluation of Explanations from Standard and Alternative Data-Based Models," Papers, arXiv.org, number 2608.17715, Aug.
- Alex Chan, 2026, "Benchmark Mineability and the Financing of AI Innovation," NBER Working Papers, National Bureau of Economic Research, Inc, number 35641, Aug.
- Fusheng Luo, 2026, "From Financial Sentiment Classification to Return Predictability: A QLoRA Benchmark of Large Language Models," Papers, arXiv.org, number 2608.04200, Aug.
- Junting Duan & Markus Pelger, 2026, "Inference with AI-Generated Covariates," NBER Working Papers, National Bureau of Economic Research, Inc, number 35481, Jul.
- Melissa Dell & Ashesh Rambachan, 2026, "The Measurement Revolution? Credible Measurement and Inference in the Age of AI," Papers, arXiv.org, number 2608.23524, Aug.
- Joshua S. Gans, 2026, "Designing AI-Augmented Peer Review," NBER Working Papers, National Bureau of Economic Research, Inc, number 35688, Aug.