Report NEP-AIN-2024-05-13

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:

• Van Pham & Scott Cunningham, 2024. "Can Base ChatGPT be Used for Forecasting without Additional Optimization?," Papers 2404.07396, arXiv.org, revised Jul 2024.
• Sara Fish & Yannai A. Gonczarowski & Ran I. Shorrer, 2024. "Algorithmic Collusion by Large Language Models," Papers 2404.00806, arXiv.org, revised Nov 2024.
• Elias Fernández Domingos & Inês Terrucha & Rémi Suchon & Jelena Grujić & Juan Burguillo & Francisco Santos & Tom Lenaerts, 2022. "Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma," Post-Print hal-04296038, HAL.
• Siting Estee Lu, 2024. "Strategic Interactions between Large Language Models-based Agents in Beauty Contests," Papers 2404.08492, arXiv.org, revised Oct 2024.
• Annie Liang & Jay Lu, 2024. "Algorithmic Fairness and Social Welfare," Papers 2404.04424, arXiv.org.
• Knoth, Nils & Decker, Marie & Laupichler, Matthias Carl & Pinski, Marc & Buchholtz, Nils & Bata, Katharina & Schultz, Ben, 2024. "Developing a Holistic AI Literacy Assessment Matrix - Bridging Generic, Domain-Specific, and Ethical Competencies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 144414, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Pelin Ozgul & Marie-Christine Fregin & Michael Stops & Simon Janssen & Mark Levels, 2024. "High-skilled Human Workers in Non-Routine Jobs are Susceptible to AI Automation but Wage Benefits Differ between Occupations," Papers 2404.06472, arXiv.org.
• Pinski, Marc & Hofmann, Thomas & Benlian, Alexander, 2024. "AI Literacy for the top management: An upper echelons perspective on corporate AI orientation and implementation ability," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 144321, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Iñaki Aldasoro & Sebastian Doerr & Leonardo Gambacorta & Daniel Rees, 2024. "The impact of artificial intelligence on output and inflation," BIS Working Papers 1179, Bank for International Settlements.
• Thorsten Hens & Trine Nordlie, 2024. "How good are LLMs in risk profiling?," KIER Working Papers 1103, Kyoto University, Institute of Economic Research.
• Kirtac, Kemal & Germano, Guido, 2024. "Sentiment trading with large language models," LSE Research Online Documents on Economics 122592, London School of Economics and Political Science, LSE Library.
• Yupeng Cao & Zhi Chen & Qingyun Pei & Fabrizio Dimino & Lorenzo Ausiello & Prashant Kumar & K. P. Subbalakshmi & Papa Momar Ndiaye, 2024. "RiskLabs: Predicting Financial Risk Using Large Language Model Based on Multi-Sources Data," Papers 2404.07452, arXiv.org.
• Dat Mai, 2024. "StockGPT: A GenAI Model for Stock Prediction and Trading," Papers 2404.05101, arXiv.org, revised Oct 2024.
• Armand Mihai Cismaru, 2024. "DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations," Papers 2403.18831, arXiv.org.
• Kapil Panda, 2023. "Artificial Intelligence-based Analysis of Change in Public Finance between US and International Markets," Papers 2403.18823, arXiv.org.
• KOUAKOU, Dorgyles C.M. & SZEGO, Eva, 2024. "Evaluating the integration of artificial intelligence technologies in defense activities and the effect of national innovation system performance on its enhancement," MPRA Paper 120617, University Library of Munich, Germany.