Report NEP-AIN-2024-01-22
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:
- John W. Patty & Elizabeth Maggie Penn, 2023, "Algorithmic Fairness with Feedback," Papers, arXiv.org, number 2312.03155, Dec.
- Johann Laux & Fabian Stephany & Alice Liefgreen, 2023, "Improving Task Instructions for Data Annotators: How Clear Rules and Higher Pay Increase Performance in Data Annotation in the AI Economy," Papers, arXiv.org, number 2312.14565, Dec, revised Aug 2024.
- Richeng Piao, 2023, "The New Age of Collusion? An Empirical Study into Airbnb's Pricing Dynamics and Market Behavior," Papers, arXiv.org, number 2312.05633, Dec.
- Enrique Ide & Eduard Talamas, 2023, "Artificial Intelligence in the Knowledge Economy," Papers, arXiv.org, number 2312.05481, Dec, revised May 2025.
- Engberg, Erik & Koch, Michael & Lodefalk, Magnus & Schroeder, Sarah, 2023, "Artificial Intelligence, Tasks, Skills and Wages: Worker-Level Evidence from Germany," Working Papers, Örebro University, School of Business, number 2023:12, Dec.
- Matthew Bone & Eugenia Ehlinger & Fabian Stephany, 2023, "Skills or Degree? The Rise of Skill-Based Hiring for AI and Green Jobs," Papers, arXiv.org, number 2312.11942, Dec, revised Nov 2024.
- Engberg, Erik & Görg, Holger & Lodefalk, Magnus & Javed, Farrukh & Längkvist, Martin & Monteiro, Natália & Kyvik Nordås, Hildegunn & Pulito, Giuseppe & Schroeder, Sarah & Tang, Aili, 2023, "AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries," Working Papers, Örebro University, School of Business, number 2023:13, Dec.
- Zeteng Lin, 2023, "How Generative-AI can be Effectively used in Government Chatbots," Papers, arXiv.org, number 2312.02181, Nov.
- Rafael Andersson Lipcsey, 2023, "The Transformative Effects of AI on International Economics," Papers, arXiv.org, number 2312.06679, Dec.
- Zhongyang Guo & Guanran Jiang & Zhongdan Zhang & Peng Li & Zhefeng Wang & Yinchun Wang, 2023, "Shai: A large language model for asset management," Papers, arXiv.org, number 2312.14203, Dec.
Printed from https://ideas.repec.org/n/nep-ain/2024-01-22.html