Report NEP-AIN-2024-12-02

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:

• Yuan Gao & Dokyun Lee & Gordon Burtch & Sina Fazelpour, 2024. "Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina," Papers 2410.19599, arXiv.org, revised Nov 2024.
• Ji Ma, 2024. "Can Machines Think Like Humans? A Behavioral Evaluation of LLM-Agents in Dictator Games," Papers 2410.21359, arXiv.org.
• Alex Albright, 2024. "The Hidden Effects of Algorithmic Recommendations," Opportunity and Inclusive Growth Institute Working Papers 104, Federal Reserve Bank of Minneapolis.
• Lorenzo Cominelli & Federico Galatolo & Caterina Giannetti & Cristiano Ciaccio & Felice Dell’Orletta & Philipp Chaposkvi & Giulia Venturi, 2024. "Teaming Up with Artificial Agents in Non-routine Analytical Tasks," Discussion Papers 2024/314, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
• Engberg, Erik & Hellsten, Mark & Javed, Farrukh & Lodefalk, Magnus & Sabolová, Radka & Schroeder, Sara & Tang, Aili, 2024. "Artificial Intelligence, Hiring and Employment: Job Postings Evidence from Sweden," Ratio Working Papers 380, The Ratio Institute.
• Lijia Ma & Xingchen Xu & Yumei He & Yong Tan, 2024. "Learning to Adopt Generative AI," Papers 2410.19806, arXiv.org, revised Oct 2024.
• Jonathan Adams & Min Fang & Zheng Liu & Yajie Wang, 2024. "The Rise of AI Pricing: Trends, Driving Forces, and Implications for Firm Performance," Working Paper Series 2024-33, Federal Reserve Bank of San Francisco.
• Vroegindeweij, Martijn & Medappa, Poonacha & Tunç, Murat, 2024. "Does AI technology deployment benefit the owner of the technology? Impact of gitHub copilot release on microsoft," Other publications TiSEM af60ac9c-5bf6-45cd-bbcb-e, Tilburg University, School of Economics and Management.
• Abbasiharofteh, Milad & Kriesch, Lukas, 2024. "Not all twins are identical: the digital layer of “twin” transition market applications," Papers in Innovation Studies 2024/16, Lund University, CIRCLE - Centre for Innovation Research.
• Kei Nakagawa & Masanori Hirano & Yugo Fujimoto, 2024. "Evaluating Company-specific Biases in Financial Sentiment Analysis using Large Language Models," Papers 2411.00420, arXiv.org.
• Alicia Vidler & Toby Walsh, 2024. "TraderTalk: An LLM Behavioural ABM applied to Simulating Human Bilateral Trading Interactions," Papers 2410.21280, arXiv.org.
• Saber Talazadeh & Dragan Perakovic, 2024. "SARF: Enhancing Stock Market Prediction with Sentiment-Augmented Random Forest," Papers 2410.07143, arXiv.org.
• Arya Chakraborty & Auhona Basu, 2024. "A Hierarchical conv-LSTM and LLM Integrated Model for Holistic Stock Forecasting," Papers 2410.12807, arXiv.org.
• Katsiaryna Bahamazava, 2024. "Urban Mobility: AI, ODE-Based Modeling, and Scenario Planning," Papers 2410.19915, arXiv.org.
• Caterina Giannetti & Maria Saveria Mavillonio, 2024. "Crowdfunding Success: Human Insights vs Algorithmic Textual Extraction," Discussion Papers 2024/315, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
• Katsiaryna Bahamazava, 2024. "Modelling of Economic Implications of Bias in AI-Powered Health Emergency Response Systems," Papers 2410.20229, arXiv.org.