Report NEP-AIN-2024-06-10

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:

• Christian Peukert & Florian Abeillon & J'er'emie Haese & Franziska Kaiser & Alexander Staub, 2024. "Strategic Behavior and AI Training Data," Papers 2404.18445, arXiv.org.
• Kasy, Maximilian, 2024. "Algorithmic Bias and Racial Inequality: A Critical Review," IZA Discussion Papers 16944, Institute of Labor Economics (IZA).
• Arian Henning & Pascal Langenbach, 2024. "Bridging the Human-Automation Fairness Gap: How Providing Reasons Enhances the Perceived Fairness of Public Decision-Making," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2024_11, Max Planck Institute for Research on Collective Goods.
• Bryce McLaughlin & Jann Spiess, 2024. "Designing Algorithmic Recommendations to Achieve Human-AI Complementarity," Papers 2405.01484, arXiv.org, revised Oct 2024.
• Peyman Khezr & Kendall Taylor, 2024. "Artificial Intelligence for Multi-Unit Auction design," Papers 2404.15633, arXiv.org, revised Aug 2024.
• Janik Ole Wecks & Johannes Voshaar & Benedikt Jost Plate & Jochen Zimmermann, 2024. "Generative AI Usage and Exam Performance," Papers 2404.19699, arXiv.org, revised Nov 2024.
• Spencer Bastani & Daniel Waldenström, 2024. "AI, Automation and Taxation," CESifo Working Paper Series 11084, CESifo.
• Item repec:ocp:ppaper:pb10-24 is not listed on IDEAS anymore

• Schlichter, Leo, 2024. "Planning for Degrowth: How artificial intelligence and Big Data revitalize the debate on democratic economic planning," IPE Working Papers 231/2024, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
• Shuochen Bi & Wenqing Bao & Jue Xiao & Jiangshan Wang & Tingting Deng, 2024. "Application and practice of AI technology in quantitative investment," Papers 2404.18184, arXiv.org.
• Huan-Yi Su & Ke Wu & Yu-Hao Huang & Wu-Jun Li, 2024. "NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance," Papers 2405.00566, arXiv.org.
• Bonilla, George J.J. & Dietlmeier, Simon Frederic & Urmetzer, Florian, 2023. "Multi-Stakeholder Ecosystem for Standardization of AI in Industry," MPRA Paper 120619, University Library of Munich, Germany.
• Shuochen Bi & Wenqing Bao, 2024. "Innovative Application of Artificial Intelligence Technology in Bank Credit Risk Management," Papers 2404.18183, arXiv.org.
• Yupeng Cao & Zhi Chen & Qingyun Pei & Nathan Jinseok Lee & K. P. Subbalakshmi & Papa Momar Ndiaye, 2024. "ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction," Papers 2404.18470, arXiv.org, revised Aug 2024.
• Pierre Beck & Pablo Garcia Sanchez & Alban Moura & Julien Pascal & Olivier Pierrard, 2024. "Deep learning solutions of DSGE models: A technical report," BCL working papers 184, Central Bank of Luxembourg.