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Report NEP-AIN-2024-11-04
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:
- Andrew Caplin & David J. Deming & Shangwen Li & Daniel J. Martin & Philip Marx & Ben Weidmann & Kadachi Jiada Ye, 2024, "The ABC’s of Who Benefits from Working with AI: Ability, Beliefs, and Calibration," NBER Working Papers, National Bureau of Economic Research, Inc, number 33021, Oct.
- Fangchen Song & Ashish Agarwal & Wen Wen, 2024, "The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot," Papers, arXiv.org, number 2410.02091, Oct, revised Jul 2025.
- Jennifer Hunt & Iain M. Cockburn & James Bessen, 2024, "Is Distance from Innovation a Barrier to the Adoption of Artificial Intelligence?," NBER Working Papers, National Bureau of Economic Research, Inc, number 33022, Oct.
- Harit, Aditya, 2024, "The Economic Implications of AI-Driven Automation: A Dynamic General Equilibrium Analysis," MPRA Paper, University Library of Munich, Germany, number 122244, Oct.
- Marco Bornstein & Zora Che & Suhas Julapalli & Abdirisak Mohamed & Amrit Singh Bedi & Furong Huang, 2024, "Auction-Based Regulation for Artificial Intelligence," Papers, arXiv.org, number 2410.01871, Oct, revised Feb 2025.
- Dae-Hyun Yoo & Caterina Giannetti, 2024, "A Principal-Agent Model for Ethical AI: Optimal Contracts and Incentives for Ethical Alignment," Discussion Papers, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy, number 2024/313, Oct.
- Chae, Je Hoon & Tewksbury, David, 2024, "Perceiving AI Intervention Does Not Compromise the Persuasive Effect of Fact-Checking," OSF Preprints, Center for Open Science, number mkd6f, Sep, DOI: 10.31219/osf.io/mkd6f.
- Guoxi Zhang & Jiuding Duan, 2024, "VickreyFeedback: Cost-efficient Data Construction for Reinforcement Learning from Human Feedback," Papers, arXiv.org, number 2409.18417, Sep, revised Dec 2024.
- Zhen Wang & Ruiqi Song & Chen Shen & Shiya Yin & Zhao Song & Balaraju Battu & Lei Shi & Danyang Jia & Talal Rahwan & Shuyue Hu, 2024, "Overcoming the Machine Penalty with Imperfectly Fair AI Agents," Papers, arXiv.org, number 2410.03724, Sep, revised May 2025.
- Manish Jha & Jialin Qian & Michael Weber & Baozhong Yang, 2024, "ChatGPT and Corporate Policies," Papers, arXiv.org, number 2409.17933, Sep, revised Feb 2025.