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Report NEP-AIN-2024-06-17
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:
- Felix Haag & Carlo Stingl & Katrin Zerfass & Konstantin Hopf & Thorsten Staake, 2024, "Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support," Papers, arXiv.org, number 2405.04972, May.
- Christoph Engel & Max R. P. Grossmann & Axel Ockenfels, 2024, "Integrating Machine Behavior into Human Subject Experiments: A User-Friendly Toolkit and Illustrations," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 302, May.
- David Arnold & Will S. Dobbie & Peter Hull, 2024, "Building Non-Discriminatory Algorithms in Selected Data," NBER Working Papers, National Bureau of Economic Research, Inc, number 32403, May.
- Rehse, Dominik & Valet, Sebastian & Walter, Johannes, 2024, "Using market design to improve red teaming of generative AI models," ZEW policy briefs, ZEW - Leibniz Centre for European Economic Research, number 06/2024.
- Yusuke Narita & Kohei Yata, 2024, "Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2391, May.
- Eric Auerbach & Annie Liang & Kyohei Okumura & Max Tabord-Meehan, 2024, "Testing the Fairness-Accuracy Improvability of Algorithms," Papers, arXiv.org, number 2405.04816, May, revised Jan 2025.
- Adam, Martin & Wessel, Michael & Benlian, Alexander, 2024, "AI-based chatbots in customer service and their effects on user compliance," 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 144613, Apr, DOI: 10.1007/s12525-020-00414-7.
- Chuanhao Li & Runhan Yang & Tiankai Li & Milad Bafarassat & Kourosh Sharifi & Dirk Bergemann & Zhuoran Yang, 2024, "STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2393, May.
- Tian Tian & Liu Ze hui & Huang Zichen & Yubing Tang, 2024, "Enhancing Organizational Performance: Harnessing AI and NLP for User Feedback Analysis in Product Development," Papers, arXiv.org, number 2405.04692, May.
- Daron Acemoglu & Simon Johnson, 2024, "Learning from Ricardo and Thompson: Machinery and Labor in the Early Industrial Revolution, and in the Age of AI," NBER Working Papers, National Bureau of Economic Research, Inc, number 32416, May.
- Joaquin Vespignani & Russell Smyth, 2024, "Artificial Intelligence Investments Reduce Risks to Critical Mineral Supply," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2024-30, May.
- Thorsten Hens & Trine Nordlie, 2024, "How good are LLMs in risk profiling?," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 24-30, Apr.
- Cortecci, Mattia Benato & Bonetti, Marco, 2024, "Analysis of Artificial Intelligence Applications in Healthcare: a review of technologies, ethical concerns, and regulatory issues," SocArXiv, Center for Open Science, number beudp, May, DOI: 10.31219/osf.io/beudp.
- Zhiyu Cao & Zachary Feinstein, 2024, "Large Language Model in Financial Regulatory Interpretation," Papers, arXiv.org, number 2405.06808, May, revised Jul 2024.
- Pierre Azoulay & Joshua L. Krieger & Abhishek Nagaraj, 2024, "Old Moats for New Models: Openness, Control, and Competition in Generative AI," NBER Working Papers, National Bureau of Economic Research, Inc, number 32474, May.
- Yiluan Xing & Chao Yan & Cathy Chang Xie, 2024, "Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models," Papers, arXiv.org, number 2405.08284, May.
- Tänzer, Alina, 2024, "The effectiveness of central bank purchases of long-term treasury securities: A neural network approach," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 204.
- Maria S. Mavillonio, 2024, "Textual Representation of Business Plans and Firm Success," Discussion Papers, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy, number 2024/308, May.