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Report NEP-AIN-2024-04-22
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:
- Eli Ben-Michael & D. James Greiner & Melody Huang & Kosuke Imai & Zhichao Jiang & Sooahn Shin, 2024, "Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies," Papers, arXiv.org, number 2403.12108, Mar, revised Oct 2024.
- Inkoo Cho & Noah Williams, 2024, "Collusive Outcomes Without Collusion," Papers, arXiv.org, number 2403.07177, Mar.
- Bruno de Melo & Jamiel Sheikh, 2024, "Can a GPT4-Powered AI Agent Be a Good Enough Performance Attribution Analyst?," Papers, arXiv.org, number 2403.10482, Mar, revised Mar 2024.
- Emin Dinlersoz & Can Dogan & Nikolas Zolas, 2024, "Starting Up AI," Working Papers, Center for Economic Studies, U.S. Census Bureau, number 24-09, Mar.
- Drydakis, Nick, 2024, "Artificial Intelligence Capital and Employment Prospects," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1408.
- Thanos Konstantinidis & Giorgos Iacovides & Mingxue Xu & Tony G. Constantinides & Danilo Mandic, 2024, "FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications," Papers, arXiv.org, number 2403.12285, Mar.
- Bertin Martens, 2024, "Economic arguments in favour of reducing copyright protection for generative AI inputs and outputs," Bruegel Working Papers, Bruegel, number node_9853, Apr.
- Anton Korinek & Donghyun Suh, 2024, "Scenarios for the Transition to AGI," Papers, arXiv.org, number 2403.12107, Mar.