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Report NEP-AIN-2024-02-19
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:
- Fabian Dvorak & Regina Stumpf & Sebastian Fehrler & Urs Fischbacher, 2024, "Generative AI Triggers Welfare-Reducing Decisions in Humans," Papers, arXiv.org, number 2401.12773, Jan.
- Jeongbin Kim & Matthew Kovach & Kyu-Min Lee & Euncheol Shin & Hector Tzavellas, 2024, "Can an LLM Learn Preferences from Choice Data?," Papers, arXiv.org, number 2401.07345, Jan, revised Apr 2026.
- Jiang, Jennifer & Alizadeh, Armin & Adam, Martin & Wiener, Martin & Benlian, Alexander, 2023, "How Algorithmic Control Mechanisms Influence Workers’ Individual-Level Algoactivistic Practices on Online Labor Platforms," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 141940.
- Lezhi Li & Ting-Yu Chang & Hai Wang, 2023, "Multimodal Gen-AI for Fundamental Investment Research," Papers, arXiv.org, number 2401.06164, Dec.
- Jin, Keyan & Zhong, Ziqi & Zhao, Elena Yifei, 2024, "Sustainable digital marketing under big data: an AI random forest model approach," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 121402, Jan.