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Report NEP-AIN-2024-10-28
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:
- Sukjin Han, 2024, "Mining Causality: AI-Assisted Search for Instrumental Variables," Papers, arXiv.org, number 2409.14202, Sep, revised Jun 2025.
- Niccolo Lomys & Lorenzo Magnolfi, 2024, "Estimation of Games under No Regret: Structural Econometrics for AI," Working Papers, NET Institute, number 24-05, Sep, revised Nov 2024.
- Ryan Y. Lin & Siddhartha Ojha & Kevin Cai & Maxwell F. Chen, 2024, "Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitions," Papers, arXiv.org, number 2410.00031, Sep, revised May 2025.
- Köbis, Nils & Rahwan, Zoe & Bersch, Clara & Ajaj, Tamer & Bonnefon, Jean-François & Rahwan, Iyad, 2024, "Experimental evidence that delegating to intelligent machines can increase dishonest behaviour," OSF Preprints, Center for Open Science, number dnjgz, Oct, DOI: 10.31219/osf.io/dnjgz.
- Tobias Werner & Ivan Soraperra & Emilio Calvano & David C. Parkes & Iyad Rahwan, 2024, "Experimental Evidence That Conversational Artificial Intelligence Can Steer Consumer Behavior Without Detection," Papers, arXiv.org, number 2409.12143, Sep.
- Yahya Fikri & Mohamed Rhalma, 2024, "Artificial Intelligence (AI) in Early Childhood Education (ECE): Do Effects and Interactions Matter?," Post-Print, HAL, number hal-04701470, Aug, DOI: 10.61707/y74fv875.
- Musina, Sofiya, 2024, "The Effect of Generative AI Adoption on Knowledge Workers : Evidence from Luxembourg," Warwick-Monash Economics Student Papers, Warwick Monash Economics Student Papers, number 75.
- Christoph Riedl & Eric Bogert, 2024, "Who Benefits from AI? Self-Selection, Skill Gap, and the Hidden Costs of AI Feedback," Papers, arXiv.org, number 2409.18660, Sep, revised Apr 2026.
- Han, Seoungmin, 2024, "Consumer Perceptions of AI-Generated Content and Disclaimer in Terms of Authenticity, Deception, and Content Attribute," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies, International Telecommunications Society (ITS), number 302503.
- Ohno, Shiroh, 2024, "AI/Robot City Expectation and AI Education Aspiration: A Survey of Four Countries - Japan, United States, China, and Australia," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies, International Telecommunications Society (ITS), number 302523.
- Bastani, Spencer & Waldenström, Daniel, 2024, "AI, Automation, and Taxation," Working Paper Series, Research Institute of Industrial Economics, number 1501, Oct.
- Manish Jha & Jialin Qian & Michael Weber & Baozhong Yang, 2024, "Generative AI, Managerial Expectations, and Economic Activity," Papers, arXiv.org, number 2410.03897, Oct, revised Nov 2025.
- Timothy DeStefano & Nick Johnstone & Richard Kneller & Jonathan Timmis, 2024, "Do capital incentives distort technology diffusion? Evidence on cloud, big data and AI," Discussion Papers, University of Nottingham, GEP, number 2024-04.
- Pablo Guerron-Quintana & Tomoaki Mikami & Jaromir Nosal, 2024, "The macroeconomic implications of the Gen-AI economy," Boston College Working Papers in Economics, Boston College Department of Economics, number 1080, Oct.
- Shuaiyu Chen & T. Clifton Green & Huseyin Gulen & Dexin Zhou, 2024, "What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts," Papers, arXiv.org, number 2409.11540, Sep.
- Masanori Hirano & Kentaro Imajo, 2024, "The Construction of Instruction-tuned LLMs for Finance without Instruction Data Using Continual Pretraining and Model Merging," Papers, arXiv.org, number 2409.19854, Sep.
- Xiang Li & Lan Zhao & Junhao Ren & Yajuan Sun & Chuan Fu Tan & Zhiquan Yeo & Gaoxi Xiao, 2024, "A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy," Papers, arXiv.org, number 2409.18988, Sep.