Report NEP-AIN-2023-07-24

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:

• Oecd, 2023. "Regulatory sandboxes in artificial intelligence," OECD Digital Economy Papers 356, OECD Publishing.
• Stefania Albanesi & António Dias da Silva & Juan F. Jimeno & Ana Lamo & Alena Wabitsch, 2023. "New Technologies and Jobs in Europe," NBER Working Papers 31357, National Bureau of Economic Research, Inc.
• Astrid Bertrand & James Eagan & Winston Maxwell, 2023. "Questioning the ability of feature-based explanations to empower non-experts in robo-advised financial decision-making," Post-Print hal-04125939, HAL.
• Alex Kim & Maximilian Muhn & Valeri Nikolaev, 2023. "Bloated Disclosures: Can ChatGPT Help Investors Process Information?," Papers 2306.10224, arXiv.org, revised Feb 2024.
• Xinli Yu & Zheng Chen & Yuan Ling & Shujing Dong & Zongyi Liu & Yanbin Lu, 2023. "Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting," Papers 2306.11025, arXiv.org.
• Thibault Collin, 2023. "Using Deep Learning to Hedge Rainbow Options," Working Papers hal-04060013, HAL.
• Kai Feng & Han Hong & Ke Tang & Jingyuan Wang, 2023. "Statistical Tests for Replacing Human Decision Makers with Algorithms," Papers 2306.11689, arXiv.org.
• Gaël Le Mens & Balász Kovács & Michael T. Hannan & Guillem Pros, 2023. "Uncovering the semantics of concepts using GPT-4 and Other recent large language models," Economics Working Papers 1864, Department of Economics and Business, Universitat Pompeu Fabra.
• Károly Fazekas, 2023. "The Great Rush," CERS-IE WORKING PAPERS 2314, Institute of Economics, Centre for Economic and Regional Studies.