Report NEP-AIN-2026-06-22

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.

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Other reports in NEP-AIN

The following items were announced in this report:

• Bernd Irlenbusch, 2026, "Human Trust in AI: Evidence from Experimental Economics," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 417, Jun.
• Alex Chan, 2026, "Preference for Explainable AI," NBER Working Papers, National Bureau of Economic Research, Inc, number 35240, May.
• Domenico Di Prisco & Silvia Dello Russo, 2026, "Sensemaking and AI: Unraveling individuals' reactions to the black box in a three-study investigation," Post-Print, HAL, number hal-05622528, May, DOI: 10.1016/j.techfore.2025.124491.
• David Arbour & Eli Ben-Michael & Avi Feller & Apoorva Lal & Lo-Hua Yuan, 2026, "AI-Assisted Variance Reduction in Randomized Experiments," Papers, arXiv.org, number 2606.08853, Jun.
• Fangyan Wang & Zaiyan Wei & Yang Wang, 2026, "Generative AI and the Reorganization of Labor Demand," Papers, arXiv.org, number 2605.23159, May.
• Pawel Adrjan & Yusuke Aoki & Gabriele Ciminelli & Robin Döttling & Sílvia Garcia-Mandicó, 2026, "Skills That Pay: Digital Skills Demand and Wage Premia in Asia and the Pacific," ADB Economics Working Paper Series, Asian Development Bank, number 850, Jun.
• Alex Chan, 2026, "Optimal Medical Liability for AI," NBER Working Papers, National Bureau of Economic Research, Inc, number 35321, Jun.
• Dana Golden & Aruna Balasubramanian & Niranjan Balasubramanian, 2026, "Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand," Papers, arXiv.org, number 2606.00811, May.
• Wabenga Yango, James, 2026, "Artificial Intelligence, Aging, and the Macroeconomy," MPRA Paper, University Library of Munich, Germany, number 129480, Jun.
• t'Serstevens, François & Oschatz, Corinna & , Abdul.Sittar & Trilling, Damian & Guček, Alenka, 2026, "Nudging Civility on Online Social Networks with Large Language Models," SocArXiv, Center for Open Science, number jhbuf_v1, May, DOI: 10.31219/osf.io/jhbuf_v1.
• Qianan Wang & Zen Chen, 2026, "Boom, Bubble, or Buildout? A Multi-Method Evaluation of Whether Artificial Intelligence Is in an Ongoing Financial Bubble," Papers, arXiv.org, number 2606.01575, Jun.
• Yuqi Li & Siyuan Liu & Bingjun Liu, 2026, "PandaAI: A Practical Agent CQ2 for Neuro-symbolic Data Analysis And Integrated Decision-Making in Quantitative Finance," Papers, arXiv.org, number 2606.06823, Jun.
• Shuang Chen & Clemens Sialm & David X. Xu, 2026, "The Growth and Performance of Artificial Intelligence in Asset Management," NBER Working Papers, National Bureau of Economic Research, Inc, number 35273, May.
• Eugene Park, 2026, "Reflexivity as Prompt: Does Awareness of Self-Reinforcing Market Dynamics Improve LLMs as Financial Market Forecasters?," Papers, arXiv.org, number 2606.00061, May.
• Christopher Clayton & Antonio Coppola, 2026, "The Optimal Use of AI in Financial Regulation," NBER Working Papers, National Bureau of Economic Research, Inc, number 35227, May.
• Ferrara, Andreas, 2026, "A Practitioner's Guide to Using Large Language Models and Generative AI in Economic History," CAGE Online Working Paper Series, Competitive Advantage in the Global Economy (CAGE), number 810.