Report NEP-AIN-2023-08-14

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:

• Leib, Margarita & Köbis, Nils & Rilke, Rainer Michael & Hagens, Marloes & Irlenbusch, Bernd, 2023. "Corrupted by Algorithms? How AI-Generated and Human-Written Advice Shape (Dis)Honesty," IZA Discussion Papers 16293, Institute of Labor Economics (IZA).
• Nikhil Agarwal & Alex Moehring & Pranav Rajpurkar & Tobias Salz, 2023. "Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology," NBER Working Papers 31422, National Bureau of Economic Research, Inc.
• Jussupow, Ekaterina & Meza Martinez, Miguel Angel & Maedche, Alexander & Heinzl, Armin, 2021. "Is This System Biased? - How Users React to Gender Bias in an Explainable AI System," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138569, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Zercher, Désirée & Jussupow, Ekaterina & Heinzl, Armin, 2023. "When AI joins the Team: A Literature Review on Intragroup Processes and their Effect on Team Performance in Team-AI Collaboration," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138574, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Kunz, Pascal Christoph & Jussupow, Ekaterina & Spohrer, Kai & Heinzl, Armin, 2022. "How the Application of Machine Learning Systems Changes Business Processes: A multiple Case Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138573, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Guillem Pros & Michael T. Hannan & Gaël Le Mens, 2023. "Uncovering the Semantics of Concepts Using GPT-4 and Other Recent Large Language Models," Working Papers 1394, Barcelona School of Economics.
• Sohum Thakkar & Skander Kazdaghli & Natansh Mathur & Iordanis Kerenidis & Andr'e J. Ferreira-Martins & Samurai Brito, 2023. "Improved Financial Forecasting via Quantum Machine Learning," Papers 2306.12965, arXiv.org, revised Apr 2024.
• Miguel Faria-e-Castro & Fernando Leibovici, 2023. "Artificial Intelligence and Inflation Forecasts," Working Papers 2023-015, Federal Reserve Bank of St. Louis, revised 26 Feb 2024.
• Elizabeth Maggie Penn & John W. Patty, 2023. "Algorithms, Incentives, and Democracy," Papers 2307.02319, arXiv.org.
• Christophe Carugati, 2023. "Competition in generative artificial intelligence foundation models," Bruegel Working Papers node_9258, Bruegel.
• Albanesi, Stefania & Da Silva, António Dias & Jimeno, Juan F. & Lamo, Ana & Wabitsch, Alena, 2023. "New technologies and jobs in Europe," Working Paper Series 2831, European Central Bank.
• Wójcik-Czerniawska, Agnieszka, 2022. "The role of Artificial Intelligence (AI) in agriculture and its impact on economy," Land, Farm & Agribusiness Management Department 337138, Harper Adams University, Land, Farm & Agribusiness Management Department.
• Gabriel Osório de Barros, 2023. "Forging AI Pathways: Portugal's Journey within the EU Digital Landscape," GEE Papers 177, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jul 2023.