Report NEP-AIN-2026-08-24

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:

• Guillaume Coqueret & Joan Llull & Florian Oswald & Christophe P'erignon & Christoph Scheuch & Lars Vilhuber, 2026, "Randomness in large language models: What researchers need to know (and report)," Papers, arXiv.org, number 2607.24372, Jul.
• Hubert János Kiss & Alfonso Rosa-García, 2025, "Democracy and AI Acceptance: Cross-Country Evidence," KRTK-KTI WORKING PAPERS, Institute of Economics, Centre for Economic and Regional Studies, number 2515, Sep.
• Yuhao Fu & Nobuyuki Hanaki, 2026, "Do people rely on ChatGPT more than their peers to detect deepfake news?," Papers, arXiv.org, number 2608.01540, Aug.
• Hongseok Choi & Jeongbin Kim & Matthew Kovach & Kyu-Min Lee & Euncheol Shin & Hector Tzavellas, 2026, "Do People Follow AI Advice? Evidence from a Pension Portfolio Choice Experiment," Papers, arXiv.org, number 2608.11371, Aug.
• Fleck, Lara & Becker, Dominik & Fregin, Marie-Christine & de Grip, Andries & Pfeifer, Harald & Weis, Kathrin, 2026, "The Value of Prompting Skills," IZA Discussion Papers, IZA Network @ LISER, number 18871, Aug.
• Anyan Qi & Mengxin Wang, 2026, "The Scaling Paradox in Human-AI Collaboration," Papers, arXiv.org, number 2608.00818, Aug, revised Aug 2026.
• Hamid Firooz & Sylvain Leduc & Zheng Liu, 2026, "Will AI Intensify or Weaken Market Competition?," Working Paper Series, Federal Reserve Bank of San Francisco, number 2026-15, Aug, DOI: 10.24148/wp2026-15.
• Christian Terwiesch & Lennart Meincke & Karan Girotra & Ethan Mollick & Gideon Nave & Karl T. Ulrich, 2026, "AI and Its Impact on Creativity and Diversity: An Empirical Study of LLM-Generated Product Ideas," Papers, arXiv.org, number 2607.27553, Jul, revised Jul 2026.
• Shujie Luan & Shubhranshu Singh & Tinglong Dai, 2026, "Algorithm Design and Physician Liability," Papers, arXiv.org, number 2608.13618, Aug.
• Bonny Banerjee & Shreya Singh, 2026, "The Human-AI Substitution Principle: When will you be replaced by AI in your organization?," Papers, arXiv.org, number 2607.20781, Jul, revised Aug 2026.
• Hernaes, Øystein & Kostøl, Andreas, 2026, "Has AI Widened Employment Gaps? Tracking Early-Career Employment by Occupational Exposure in Norway," IZA Discussion Papers, IZA Network @ LISER, number 18767, Jun.
• Lünich, Marco & Keller, Birte & Kruse, Florian & Marcinkowski, Frank, 2026, "Opinion Monitor Artificial Intelligence. Shaping the Use of AI in the Workplace – Between Autonomous Use and Workload Reduction: Brief Report on a Conjoint Study," SocArXiv, Center for Open Science, number mx9y2_v1, Jul, DOI: 10.31235/osf.io/mx9y2_v1.
• Li Gan, 2026, "Execution and Evaluation: A New Occupational Measure and Long-Run Employment Gradients," Papers, arXiv.org, number 2607.20807, Jul.
• C. Castaldi & F. Castellacci & A. Fronzetti Colladon & L. Segneri & F. Venturini, 2026, "Measuring AI innovation with trademark data," Papers, arXiv.org, number 2607.18795, Jul.
• Aaron Chatterji & David Holtz & Neel Rakholia & Prasanna Tambe & Gawesha Weeratunga, 2026, "How Organizations Use AI: Evidence from ChatGPT," Papers, arXiv.org, number 2608.12236, Aug.
• Chanya Chawla & Crystal Arnburg, 2026, "Survey Evidence on Firm AI Adoption and its Implications," Staff Analytical Papers, Bank of Canada, number 2026-22, Jun, DOI: 10.34989/sap-2026-22.
• Korinek, Anton, 2024, "Economic Policy Challenges for the Age of AI," CEPR Discussion Papers, Centre for Economic Policy Research, number 19539, Sep.
• Sylvain Chassang, 2026, "Interactive Alignment," Papers, arXiv.org, number 2607.25019, Jul.
• Barry Eichengreen & George Cui & Asmaa A. El-Ganainy & Yevgeniya Koriyenko & Elyad Shojaei & Li Zeng & Shihangyin Zhang, 2026, "AI in a Fragmenting World," NBER Working Papers, National Bureau of Economic Research, Inc, number 35597, Aug.
• Langehennig, Stefani & Roney, Dani, 2026, "Regulate, Promote, or Study? Measuring the Policy Orientation of U.S. State Artificial Intelligence Legislation," SocArXiv, Center for Open Science, number 394mj_v1, Jul, DOI: 10.31235/osf.io/394mj_v1.
• Mukashov, Askar & Kim, Soonho & Fang, Peixun & Diao, Xinshen & Thurlow, James & Proctor, Joshua & Rennison, Alan, 2026, "An agentic AI assistant for country-level economic modeling: Methods, data, and expert evaluation," IFPRI discussion papers, International Food Policy Research Institute (IFPRI), number 2424, Jun.
• Zane Shen & Xinli Xu & Guangyi Zhang & Jialong Chen & Jinsong Zhou & Cong Chen & Guibao Shen & Dongyu Yan & Luozhou Wang & Zhen Yang, 2026, "Can Large Language Models Execute Parent Orders?," Papers, arXiv.org, number 2607.28410, Jul.
• Giorgos Iacovides & Wuyang Zhou & Danilo Mandic, 2026, "FinSMART: Financial Sentiment Analysis for Algorithmic Trading through Market-Aligned Reinforcement Learning," Papers, arXiv.org, number 2607.28127, Jul.
• Elias Fern'andez Domingos & The Anh Han, 2026, "Falling Behind Drives Unsafe Development in an Idealised AI Race Experiment," Papers, arXiv.org, number 2607.26034, Jul.
• Zi Wang & Ruizhi Yuan & Boying Li & V. Kumar & Ajay Kumar, 2026, "An Empirical Study of AI Financial Advisor Adoption Through Technology Vulnerabilities in the Financial Context," Post-Print, HAL, number hal-05708328, Jan, DOI: 10.1111/jpim.12795.