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Report NEP-AIN-2026-09-21
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:
- Jeffrey Clemens & Anwita Mahajan, 2026, "The Utility of AI Tools in Auditing Adherence to Pre-Analysis Plans," NBER Working Papers, National Bureau of Economic Research, Inc, number 35719, Sep.
- Francesco Angelini & Johan Lyrvall, 2026, "Normative boundaries of AI in scientific work: Evidence from PhD researchers," Papers, arXiv.org, number 2608.25678, Aug.
- Veronika Batzdorfer & Carlo Romano Marcello Alessandro Santagiustina, 2026, "Reproducibility is not construct validity: LLM measurement of institutionally situated communication," Papers, arXiv.org, number 2609.19866, Sep.
- Valeria Lermana & Oren Rigbi & Yaniv Dover, 2026, "The Role of AI in Online Reviews," CESifo Working Paper Series, CESifo, number 12960.
- Paul Althaus & Leon Houf & Christiane Schwieren, 2026, "Access to Live AI Advice and Behavior Under Risk: An Incentivized Experiment," Papers, arXiv.org, number 2609.07358, Sep, revised Sep 2026.
- Brian Jabarian & Luca Henkel, 2026, "Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews," CESifo Working Paper Series, CESifo, number 12984.
- Fazliddin Shermatov & Stephane Robin & Aldo Geuna, 2026, "AI Innovation and Firm Performance in the Medical Device Industry," Papers, arXiv.org, number 2609.08485, Sep.
- Yanhui Shen, 2026, "Are AI Risks Priced in the U.S. Stock Market? Evidence from Financial News Factors," Papers, arXiv.org, number 2609.05485, Aug.
- Bäckman, Claes, 2026, "One advisor for the whole world? Cross-country evidence on financial advice from large language models," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 490.
- Kunjesh Parekh & Anil Kumar Tiwari & Divya Saxena, 2026, "CIFQA: A Deterministic Tool-Grounded Multi-Agent LLM Framework for Financial Query Answering," Papers, arXiv.org, number 2608.26114, Jun.