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Report NEP-AIN-2023-07-17
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:
- von Schenk, Alicia & Klockmann, Victor & Bonnefon, Jean-François & Rahwan, Iyad & Köbis, Nils, 2023, "Lie-detection algorithms attract few users but vastly increase accusation rates," TSE Working Papers, Toulouse School of Economics (TSE), number 23-1448, Jun.
- Pranjal Rawat, 2023, "Designing Auctions when Algorithms Learn to Bid," Papers, arXiv.org, number 2306.09437, Jun, revised Mar 2026.
- Yurong Chen & Qian Wang & Zhijian Duan & Haoran Sun & Zhaohua Chen & Xiang Yan & Xiaotie Deng, 2023, "Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets," Papers, arXiv.org, number 2306.07709, Jun.
- Mehler, Maren F. & Vetter, Oliver A., 2023, "How Much Are Machine Assistants Worth? Willingness to Pay for Machine Learning-Based Software Testing," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 138317, Jun.
- Hendriks, Patrick & Sturm, Timo & Olt, Christian M. & Buxmann, Peter, 2023, "The Impact of Human-Artificial Intelligence Partnerships on Organizational Learning," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 138376, Jun.
- Alain Lacroux & Christelle Martin Lacroux, 2022, "Believing Or Not In Algorithms... ? Recruiters' Perceptions And Behavior Towards Algorithms During Resume Screening
[Croire Ou Ne Pas Croire Les Algorithmes… ? Perceptions Et Comportement Des Recruteurs Face Aux Algorithmes Lors De La Pre-Selectio," Post-Print, HAL, number hal-04095500, Oct. - Tania Babina & Anastassia Fedyk & Alex X. He & James Hodson, 2023, "Firm Investments in Artificial Intelligence Technologies and Changes in Workforce Composition," NBER Working Papers, National Bureau of Economic Research, Inc, number 31325, Jun.
- Albanesi, Stefania & Silva, António Dias da & Jimeno, Juan F. & Lamo, Ana & Wabitsch, Alena, 2023, "New Technologies and Jobs in Europe," IZA Discussion Papers, IZA Network @ LISER, number 16227, Jun.
- DUCH BROWN Nestor & GOMEZ LOSADA Alvaro & MIGUEZ Sebastián & ROSSETTI Fiammetta & VAN ROY Vincent, 2023, "AI Watch - Evolution of the EU market share of Robotics," JRC Research Reports, Joint Research Centre, number JRC132724, Apr.
- Zihan Chen & Lei Nico Zheng & Cheng Lu & Jialu Yuan & Di Zhu, 2023, "ChatGPT Informed Graph Neural Network for Stock Movement Prediction," Papers, arXiv.org, number 2306.03763, May, revised Sep 2023.
- Hongyang Yang & Xiao-Yang Liu & Christina Dan Wang, 2023, "FinGPT: Open-Source Financial Large Language Models," Papers, arXiv.org, number 2306.06031, Jun, revised Nov 2025.
- Inssafe Bachir & Abdnbi El Marzouki, 2023, "Artificial intelligence and the stock market: An applied theoretical analysis to address the positioning of Morocco
[L’intelligence artificielle et le marché boursier : Une analyse théorique appliquée pour traiter le positionnement du Maroc]," Post-Print, HAL, number hal-04089635, Apr. - Dylan Brewer & Alyssa Carlson, 2023, "Addressing Sample Selection Bias for Machine Learning Methods," Working Papers, Department of Economics, University of Missouri, number 2310, Jun.
- Jan-Peter Kucklick & Jennifer Priefer & Daniel Beverungen & Oliver Müller, 2023, "Elucidating the Predictive Power of Search and Experience Qualities for Pricing of Complex Goods – A Machine Learning-based Study on Real Estate Appraisal," Working Papers Dissertations, Paderborn University, Faculty of Business Administration and Economics, number 112, Jun.
- Shadi Haj-Yahia & Omar Mansour & Tomer Toledo, 2023, "Incorporating Domain Knowledge in Deep Neural Networks for Discrete Choice Models," Papers, arXiv.org, number 2306.00016, May.
- Sebastian Galiani & Ramiro H. Gálvez & Ian Nachman, 2023, "Specialization Trends in Economics Research: A Large-Scale Study Using Natural Language Processing and Citation Analysis," NBER Working Papers, National Bureau of Economic Research, Inc, number 31295, Jun.