Report NEP-AIN-2024-07-08

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.

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Other reports in NEP-AIN

The following items were announced in this report:

• Shidi Deng & Maximilian Schiffer & Martin Bichler, 2024. "Algorithmic Collusion in Dynamic Pricing with Deep Reinforcement Learning," Papers 2406.02437, arXiv.org.
• Ning Li & Huaikang Zhou & Kris Mikel-Hong, 2024. "Generative AI Enhances Team Performance and Reduces Need for Traditional Teams," Papers 2405.17924, arXiv.org.
• Shumiao Ouyang & Hayong Yun & Xingjian Zheng, 2024. "How Ethical Should AI Be? How AI Alignment Shapes the Risk Preferences of LLMs," Papers 2406.01168, arXiv.org, revised Aug 2024.
• Jian-Qiao Zhu & Haijiang Yan & Thomas L. Griffiths, 2024. "Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice," Papers 2405.19313, arXiv.org.
• J. Ignacio Conde-Ruiz & Juan-José Ganuza & Manu García & Carlos Victoria, 2024. "AI and Digital Technology: Gender Gaps in Higher Education," Working Papers 1450, Barcelona School of Economics.
• Iñaki Aldasoro & Leonardo Gambacorta & Anton Korinek & Vatsala Shreeti & Merlin Stein, 2024. "Intelligent financial system: how AI is transforming finance," BIS Working Papers 1194, Bank for International Settlements.
• Rafael Andersson Lipcsey, 2024. "AI Diffusion to Low-Middle Income Countries; A Blessing or a Curse?," Papers 2405.20399, arXiv.org, revised Jun 2024.