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Report NEP-AIN-2023-12-04
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:
- Goel, Rajeev K. & Nelson, Michael A., 2023, "Awareness of artificial intelligence: Diffusion of information about AI versus ChatGPT in the United States," Kiel Working Papers, Kiel Institute for the World Economy, number 2259.
- Mariam Dundua & Otar Gorgodze, 2022, "Application of Artificial Intelligence for Monetary Policy-Making," NBG Working Papers, National Bank of Georgia, number 02/2022, Nov.
- Mamalis, Marios & Kalampokis, Evangelos & Karamanou, Areti & Brimos, Petros & Tarabanis, Konstantinos, 2023, "Can Large Language Models Revolutionalize Open Government Data Portals? A Case of Using ChatGPT in statistics.gov.scot," OSF Preprints, Center for Open Science, number 9b35z, Oct, DOI: 10.31219/osf.io/9b35z.
- Sangkyu Lee, 2023, "Strategies for Optimizing Policy Outcomes through Machine Learning: A Case Study on Korean R&D Project Assessment," Industrial Economic Review, Korea Institute for Industrial Economics and Trade, number 23-22, Oct.
- Morgan R. Frank, 2023, "Brief for the Canada House of Commons Study on the Implications of Artificial Intelligence Technologies for the Canadian Labor Force: Generative Artificial Intelligence Shatters Models of AI and Labor," Papers, arXiv.org, number 2311.03595, Nov.
- Thomas R. Cook & Sophia Kazinnik & Anne Lundgaard Hansen & Peter McAdam, 2023, "Evaluating Local Language Models: An Application to Bank Earnings Calls," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 23-12, Nov.
- Tatiana Evdokimova & Piroska Nagy Mohacsi & Olga Ponomarenko & Elina Ribakova, 2023, "Central banks and policy communication: How emerging markets have outperformed the Fed and ECB," Working Paper Series, Peterson Institute for International Economics, number WP23-10, Oct.
- Xiong Xiong & Fan Yang & Li Su, 2023, "Popularity, face and voice: Predicting and interpreting livestreamers' retail performance using machine learning techniques," Papers, arXiv.org, number 2310.19200, Oct.
- Charles I. Jones, 2023, "The A.I. Dilemma: Growth versus Existential Risk," NBER Working Papers, National Bureau of Economic Research, Inc, number 31837, Nov.