Report NEP-AIN-2023-10-02
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.
Other reports in NEP-AIN
The following items were announced in this report:
- Oschinski, Matthias, 2023. "Assessing the Impact of Artificial Intelligence on Germany's Labor Market: Insights from a ChatGPT Analysis," MPRA Paper 118300, University Library of Munich, Germany.
- Lohani, Fazle & Rahman, Mostafizur & Shaturaev, Jakhongir, 2023. "The Impact of Artificial Intelligence on Economic Patterns," MPRA Paper 118316, University Library of Munich, Germany, revised 08 Mar 2023.
- CARBALLA SMICHOWSKI Bruno & DE NIGRIS Sarah & DUCH BROWN Nestor & MORENO MARÍA Adrián, 2023. "AI Watch: Adoption of Autonomous Machines," JRC Research Reports JRC132723, Joint Research Centre.
- Schandl, Franziska & Hudecek, Matthias F. C., 2023. "Transportation by the Hand of a Ghost: The Influence of Trait Anxiety in the Context of Fear of giving up Control on the Acceptance of Autonomous Vehicles," OSF Preprints r2ug5, Center for Open Science.
- Morande, Swapnil & Arshi, Tahseen & Gul, Kanwal & Amini, Mitra, 2023. "Harnessing the Power of Artificial Intelligence to Forecast Startup Success: An Empirical Evaluation of the SECURE AI Model," SocArXiv p3gyb, Center for Open Science.
- Lefteris Loukas & Ilias Stogiannidis & Prodromos Malakasiotis & Stavros Vassos, 2023. "Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance," Papers 2308.14634, arXiv.org.
- Ali Asgarov, 2023. "Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing," Papers 2309.00136, arXiv.org.
- Patrick Rehill & Nicholas Biddle, 2023. "Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making," Papers 2309.00805, arXiv.org.