Report NEP-AIN-2023-12-18

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:

• Yang, Nanyin & Palma, Marco & Drichoutis, Andreas C., 2023, "Humanization of Virtual Assistants and Delegation Choices," MPRA Paper, University Library of Munich, Germany, number 119275, Nov.
• Kaichen Zhang & Zixuan Yuan & Hui Xiong, 2023, "The Impact of Generative Artificial Intelligence on Market Equilibrium: Evidence from a Natural Experiment," Papers, arXiv.org, number 2311.07071, Nov, revised Oct 2024.
• Zhang, Wen & Shi, Jingwen & Wang, Xiaojun & Wynn, Henry, 2023, "AI-powered decision-making in facilitating insurance claim dispute resolution," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 120649, Oct.
• David E. Bloom & Klaus Prettner & Jamel Saadaoui & Mario Veruete, 2023, "Artificial intelligence and the skill premium," Papers, arXiv.org, number 2311.09255, Nov.
• Daniel Goller & Christian Gschwendt & Stefan C. Wolter, 2023, ""This time it's different" Generative Artificial Intelligence and Occupational Choice," Economics of Education Working Paper Series, University of Zurich, Department of Business Administration (IBW), number 0209, Nov.
• Marc J. Pfeiffer, 2023, "First, Do No Harm: Algorithms, AI, and Digital Product Liability," Papers, arXiv.org, number 2311.10861, Nov.
• Khaoula Naili, 2023, "Critical AI Challenges in Legal Practice : An application to French Administrative Decisions," Working Papers AFED, Association Francaise d'Economie du Droit (AFED), number 23-04, Dec.
• Yinheng Li & Shaofei Wang & Han Ding & Hang Chen, 2023, "Large Language Models in Finance: A Survey," Papers, arXiv.org, number 2311.10723, Sep, revised Jul 2024.
• Ixandra Achitouv & Dragos Gorduza & Antoine Jacquier, 2023, "Natural Language Processing for Financial Regulation," Papers, arXiv.org, number 2311.08533, Nov.
• Ricardo Cuervo, 2023, "Predictive AI for SME and Large Enterprise Financial Performance Management," Papers, arXiv.org, number 2311.05840, Sep.
• Fecho, Mariska & Zöll, Anne, 2023, "The Power of Trust: Designing Trustworthy Machine Learning Systems in Healthcare," 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 138903, Dec.
• Yazan Alnsour & Marina Johnson & Abdullah Albizri & Antoine Harfouche, 2023, "Predicting Patient Length of Stay Using Artificial Intelligence to Assist Healthcare Professionals in Resource Planning and Scheduling Decisions," Post-Print, HAL, number hal-04263512, Jan, DOI: 10.4018/JGIM.323059.
• Manuel Woersdoerfer, 2023, "AI Ethics and Ordoliberalism 2.0: Towards A 'Digital Bill of Rights'," Papers, arXiv.org, number 2311.10742, Oct.
• Branka Hadji Misheva & Joerg Osterrieder, 2023, "A Hypothesis on Good Practices for AI-based Systems for Financial Time Series Forecasting: Towards Domain-Driven XAI Methods," Papers, arXiv.org, number 2311.07513, Nov.