Report NEP-AIN-2023-11-20

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:

• Bansak, Kirk & Paulson, Elisabeth, 2023. "Public Opinion on Fairness and Efficiency for Algorithmic and Human Decision-Makers," OSF Preprints pghmx, Center for Open Science.
• Christian Peukert & Margaritha Windisch, 2023. "The Economics of Copyright in the Digital Age," CESifo Working Paper Series 10687, CESifo.
• Gaetan de Rassenfosse & Adam Jaffe & Melissa Wasserman, 2023. "AI-Generated Inventions: Implications for the Patent System," Working Papers 22, Chair of Science, Technology, and Innovation Policy.
• Philip Trammell & Anton Korinek, 2023. "Economic Growth under Transformative AI," NBER Working Papers 31815, National Bureau of Economic Research, Inc.
• Giulio Cornelli & Jon Frost & Saurabh Mishra, 2023. "Artificial intelligence, services globalisation and income inequality," BIS Working Papers 1135, Bank for International Settlements.
• Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia S. Foster & Nikolas Zolas, 2023. "AI Adoption in America: Who, What, and Where," NBER Working Papers 31788, National Bureau of Economic Research, Inc.
• Alessandra Bonfiglioli & Rosario Crinò & Gino Gancia & Ioannis Papadakis, 2023. "Artificial Intelligence and Jobs: Evidence from US Commuting Zones," CESifo Working Paper Series 10685, CESifo.
• Carlo Pizzinelli & Augustus J Panton & Ms. Marina Mendes Tavares & Mauro Cazzaniga & Longji Li, 2023. "Labor Market Exposure to AI: Cross-country Differences and Distributional Implications," IMF Working Papers 2023/216, International Monetary Fund.
• Hanson, Gordon H., 2023. "Immigration and Regional Specialization in AI," SocArXiv 9a45d, Center for Open Science.
• Xu Yang & Xiao Yang & Weiqing Liu & Jinhui Li & Peng Yu & Zeqi Ye & Jiang Bian, 2023. "Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle," Papers 2310.11249, arXiv.org.
• Sebastian Heinrich, 2023. "Deriving Technology Indicators from Corporate Websites: A Comparative Assessment Using Patents," KOF Working papers 22-512, KOF Swiss Economic Institute, ETH Zurich.
• Alex Kim & Maximilian Muhn & Valeri Nikolaev, 2023. "From Transcripts to Insights: Uncovering Corporate Risks Using Generative AI," Papers 2310.17721, arXiv.org.
• Bhaskarjit Sarmah & Tianjie Zhu & Dhagash Mehta & Stefano Pasquali, 2023. "Towards reducing hallucination in extracting information from financial reports using Large Language Models," Papers 2310.10760, arXiv.org.
• Jean-Marie John-Mathews, 2022. "Some critical and ethical perspectives on the empirical turn of AI interpretability," Post-Print hal-03395823, HAL.