Report NEP-AIN-2025-03-24

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:

• Lippens, Louis, 2024. "Humans vs GPTs: Bias and validity in hiring decisions," OSF Preprints zxf5y_v1, Center for Open Science.
• Yuzhi Hao & Danyang Xie, 2025. "A Multi-LLM-Agent-Based Framework for Economic and Public Policy Analysis," Papers 2502.16879, arXiv.org.
• Zexin Ye, 2025. "Algorithmic Collusion under Observed Demand Shocks," Papers 2502.15084, arXiv.org.
• Hein, Ilka & Cecil, Julia & Lermer, Eva, 2024. "Acceptance and motivational effect of AI-driven feedback in the workplace: An experimental study with direct replication," OSF Preprints uczaw_v1, Center for Open Science.
• Otis, Nicholas G. & Cranney, Katelyn & Delecourt, Solene & Koning, Rembrand, 2024. "Global Evidence on Gender Gaps and Generative AI," OSF Preprints h6a7c_v1, Center for Open Science.
• Kevin He & Ran Shorrer & Mengjia Xia, 2025. "Human Misperception of Generative-AI Alignment: A Laboratory Experiment," Papers 2502.14708, arXiv.org.
• Schoeffer, Jakob & Jakubik, Johannes & Vössing, Michael & Kühl, Niklas & Satzger, Gerhard, 2024. "AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions," OSF Preprints cekm9_v1, Center for Open Science.
• Ghaharian, Kasra & Binesh, Nasim, 2024. "Identifying Risks and Ethical Considerations of AI in Gambling: A Scoping Review," OSF Preprints gpyub_v1, Center for Open Science.
• Thomas Henning & Siddhartha M. Ojha & Ross Spoon & Jiatong Han & Colin F. Camerer, 2025. "LLM Trading: Analysis of LLM Agent Behavior in Experimental Asset Markets," Papers 2502.15800, arXiv.org.
• Munipalle, Pravith, 2024. "Algorithmic Bot Trading vs. Human Trading: Assessing Retail Trading Implications in Financial Markets," OSF Preprints p98zv_v1, Center for Open Science.
• Lee, Heungmin, 2025. "Unleashing the Potential of Large Language Models in the Finance Industry," OSF Preprints ahkd3_v1, Center for Open Science.
• Guojun Xiong & Zhiyang Deng & Keyi Wang & Yupeng Cao & Haohang Li & Yangyang Yu & Xueqing Peng & Mingquan Lin & Kaleb E Smith & Xiao-Yang Liu & Jimin Huang & Sophia Ananiadou & Qianqian Xie, 2025. "FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading," Papers 2502.11433, arXiv.org, revised Feb 2025.
• Xiangyu Li & Yawen Zeng & Xiaofen Xing & Jin Xu & Xiangmin Xu, 2025. "HedgeAgents: A Balanced-aware Multi-agent Financial Trading System," Papers 2502.13165, arXiv.org.
• Yan Zhang & Lin Chen & Yixiang Tian, 2025. "A Method for Evaluating the Interpretability of Machine Learning Models in Predicting Bond Default Risk Based on LIME and SHAP," Papers 2502.19615, arXiv.org.
• Jian Chen & Guohao Tang & Guofu Zhou & Wu Zhu, 2025. "ChatGPT and Deepseek: Can They Predict the Stock Market and Macroeconomy?," Papers 2502.10008, arXiv.org.
• Ankur Sinha & Chaitanya Agarwal & Pekka Malo, 2025. "FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data," Papers 2502.18471, arXiv.org.
• Jibang Wu & Chenghao Yang & Simon Mahns & Chaoqi Wang & Hao Zhu & Fei Fang & Haifeng Xu, 2025. "Grounded Persuasive Language Generation for Automated Marketing," Papers 2502.16810, arXiv.org.
• Saint-Paul, Gilles, 2025. "Artificial Intelligence, the Collapse of Consumer Society, and Oligarchy," IZA Discussion Papers 17682, Institute of Labor Economics (IZA).