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Report NEP-AIN-2024-08-26
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:
- Christoph Riedl & Saiph Savage & Josie Zvelebilova, 2024, "Cognitive Spillover in Human-AI Teams," Papers, arXiv.org, number 2407.17489, Jul, revised Mar 2026.
- Alexandre Georgieff, 2024, "Artificial intelligence and wage inequality," OECD Artificial Intelligence Papers, OECD Publishing, number 13, Apr, DOI: 10.1787/bf98a45c-en.
- Andrew Green, 2024, "Artificial intelligence and the changing demand for skills in the labour market," OECD Artificial Intelligence Papers, OECD Publishing, number 14, Apr, DOI: 10.1787/88684e36-en.
- Francesca Borgonovi & Flavio Calvino & Chiara Criscuolo & Lea Samek & Helke Seitz & Julia Nania & Julia Nitschke & Layla O’Kane, 2023, "Emerging trends in AI skill demand across 14 OECD countries," OECD Artificial Intelligence Papers, OECD Publishing, number 2, Oct, DOI: 10.1787/7c691b9a-en.
- Chloé Touzet, 2023, "Using AI to support people with disability in the labour market: Opportunities and challenges," OECD Artificial Intelligence Papers, OECD Publishing, number 7, Nov, DOI: 10.1787/008b32b7-en.
- Joshua S. Gans, 2024, "How will Generative AI impact Communication?," NBER Working Papers, National Bureau of Economic Research, Inc, number 32690, Jul.
- Joshua S. Gans, 2024, "Demand for Artificial Intelligence in Settlement Negotiations," NBER Working Papers, National Bureau of Economic Research, Inc, number 32685, Jul.
- Joshua S. Gans, 2024, "Will User-Contributed AI Training Data Eat Its Own Tail?," NBER Working Papers, National Bureau of Economic Research, Inc, number 32686, Jul.
- Flavio Calvino & Chiara Criscuolo & Hélène Dernis & Lea Samek, 2023, "What technologies are at the core of AI?: An exploration based on patent data," OECD Artificial Intelligence Papers, OECD Publishing, number 6, Nov, DOI: 10.1787/32406765-en.
- Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2024, "AI as a new emerging technological paradigm: evidence from global patenting," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1467.
- Gaétan de Rassenfosse & Adam B. Jaffe & Joel Waldfogel, 2024, "Intellectual Property and Creative Machines," NBER Working Papers, National Bureau of Economic Research, Inc, number 32698, Jul.
- Francesco Filippucci & Peter Gal & Cecilia Jona-Lasinio & Alvaro Leandro & Giuseppe Nicoletti, 2024, "The impact of Artificial Intelligence on productivity, distribution and growth: Key mechanisms, initial evidence and policy challenges," OECD Artificial Intelligence Papers, OECD Publishing, number 15, Apr, DOI: 10.1787/8d900037-en.
- Adria Pop & Jan Sporer, 2024, "The Structure of Financial Equity Research Reports -- Identification of the Most Frequently Asked Questions in Financial Analyst Reports to Automate Equity Research Using Llama 3 and GPT-4," Papers, arXiv.org, number 2407.18327, Jul, revised Jun 2025.
- Tian Guo & Emmanuel Hauptmann, 2024, "Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow," Papers, arXiv.org, number 2407.18103, Jul, revised Aug 2024.
- Chong Zhang & Xinyi Liu & Zhongmou Zhang & Mingyu Jin & Lingyao Li & Zhenting Wang & Wenyue Hua & Dong Shu & Suiyuan Zhu & Xiaobo Jin & Sujian Li & Mengnan Du & Yongfeng Zhang, 2024, "When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments," Papers, arXiv.org, number 2407.18957, Jul, revised Sep 2024.
- Tiago Monteiro, 2024, "AI-Powered Energy Algorithmic Trading: Integrating Hidden Markov Models with Neural Networks," Papers, arXiv.org, number 2407.19858, Jul, revised Nov 2025.