Report NEP-AIN-2023-06-19
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:
- Steve Phelps & Yvan I. Russell, 2023, "The Machine Psychology of Cooperation: Can GPT models operationalise prompts for altruism, cooperation, competitiveness and selfishness in economic games?," Papers, arXiv.org, number 2305.07970, May, revised Jun 2024.
- Nikodem Tomczak, 2023, "Artificial intelligence moral agent as Adam Smith's impartial spectator," Papers, arXiv.org, number 2305.11519, May.
- Agam Shah & Sudheer Chava, 2023, "Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks," Papers, arXiv.org, number 2305.16633, May.
- Jonas Tallberg & Eva Erman & Markus Furendal & Johannes Geith & Mark Klamberg & Magnus Lundgren, 2023, "The Global Governance of Artificial Intelligence: Next Steps for Empirical and Normative Research," Papers, arXiv.org, number 2305.11528, May.
- Alexandra Brintrup & George Baryannis & Ashutosh Tiwari & Svetan Ratchev & Giovanna Martinez-Arellano & Jatinder Singh, 2023, "Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions," Papers, arXiv.org, number 2305.11581, May.
- Jonas Tallberg & Magnus Lundgren & Johannes Geith, 2023, "AI Regulation in the European Union: Examining Non-State Actor Preferences," Papers, arXiv.org, number 2305.11523, May, revised Nov 2023.
- Sarita Rosenstock, 2023, "Beneficence Signaling in AI Development Dynamics," Papers, arXiv.org, number 2305.02561, May.
- Zhuang Liu & Michael Sockin & Wei Xiong, 2023, "Data Privacy and Algorithmic Inequality," NBER Working Papers, National Bureau of Economic Research, Inc, number 31250, May.
- Kim, Minho & Han, Jaepil, 2022, "Can artificial intelligence improve the effectiveness of government support policies?," KDI Policy Forum, Korea Development Institute (KDI), number 288, DOI: 10.22740/kdi.forum.e.2022.288.
- Aliyev, Nihad & Huseynov, Fariz & Rzayev, Khaladdin, 2022, "Algorithmic trading and investment-to-price sensitivity," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 118844, Sep.
- Corrocher, Nicoletta & Moschella, Daniele & Staccioli, Jacopo & Vivarelli, Marco, 2023, "Innovation and the Labor Market: Theory, Evidence and Challenges," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1284.
- Deng, Liuchun & Müller, Steffen & Plümpe, Verena & Stegmaier, Jens, 2023, "Robots, Occupations, and Worker Age: A Production-Unit Analysis of Employment," IZA Discussion Papers, IZA Network @ LISER, number 16128, May.
- Eric Budish & Ruiquan Gao & Abraham Othman & Aviad Rubinstein & Qianfan Zhang, 2023, "Practical algorithms and experimentally validated incentives for equilibrium-based fair division (A-CEEI)," Papers, arXiv.org, number 2305.11406, May, revised May 2023.
- Linyi Yang & Yingpeng Ma & Yue Zhang, 2023, "Measuring Consistency in Text-based Financial Forecasting Models," Papers, arXiv.org, number 2305.08524, May, revised Jun 2023.
- Lin An & Andrew A. Li & Benjamin Moseley & R. Ravi, 2023, "The Nonstationary Newsvendor with (and without) Predictions," Papers, arXiv.org, number 2305.07993, May, revised Feb 2025.
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