Printed from https://ideas.repec.org/n/nep-ain/2024-06-10.html
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, "AI and the Dynamic Supply of Training Data," Papers, arXiv.org, number 2404.18445, Apr, revised Jun 2025.
- Kasy, Maximilian, 2024, "Algorithmic Bias and Racial Inequality: A Critical Review," IZA Discussion Papers, Institute of Labor Economics (IZA), number 16944, Apr.
- Arian Henning & Pascal Langenbach, 2024, "Bridging the Human-AI Fairness Gap: How Providing Reasons Enhances the Perceived Fairness of Public Decision-Making," Discussion Paper Series of the Max Planck Institute for Behavioral Economics, Max Planck Institute for Behavioral Economics, number 2024_11, May, revised 30 May 2025.
- Bryce McLaughlin & Jann Spiess, 2024, "Designing Algorithmic Recommendations to Achieve Human-AI Complementarity," Papers, arXiv.org, number 2405.01484, May, revised Oct 2024.
- Peyman Khezr & Kendall Taylor, 2024, "Artificial Intelligence for Multi-Unit Auction design," Papers, arXiv.org, number 2404.15633, Apr, revised Aug 2024.
- Janik Ole Wecks & Johannes Voshaar & Benedikt Jost Plate & Jochen Zimmermann, 2024, "Generative AI Usage and Exam Performance," Papers, arXiv.org, number 2404.19699, Apr, revised Nov 2024.
- Spencer Bastani & Daniel Waldenström, 2024, "AI, Automation and Taxation," CESifo Working Paper Series, CESifo, number 11084.
- 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, Berlin School of Economics and Law, Institute for International Political Economy (IPE), number 231/2024.
- Shuochen Bi & Wenqing Bao & Jue Xiao & Jiangshan Wang & Tingting Deng, 2024, "Application and practice of AI technology in quantitative investment," Papers, arXiv.org, number 2404.18184, Apr.
- Huan-Yi Su & Ke Wu & Yu-Hao Huang & Wu-Jun Li, 2024, "NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance," Papers, arXiv.org, number 2405.00566, May.
- Bonilla, George J.J. & Dietlmeier, Simon Frederic & Urmetzer, Florian, 2023, "Multi-Stakeholder Ecosystem for Standardization of AI in Industry," MPRA Paper, University Library of Munich, Germany, number 120619, Aug.
- Shuochen Bi & Wenqing Bao, 2024, "Innovative Application of Artificial Intelligence Technology in Bank Credit Risk Management," Papers, arXiv.org, number 2404.18183, Apr.
- 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, arXiv.org, number 2404.18470, Apr, 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, Central Bank of Luxembourg, number 184, May.