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Report NEP-AIN-2023-10-09
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:
- Louis Lippens, 2023, "Computer says 'no': Exploring systemic bias in ChatGPT using an audit approach," Papers, arXiv.org, number 2309.07664, Sep, revised Feb 2024.
- Tanvir Ahmed Khan, 2023, "Can Unbiased Predictive AI Amplify Bias?," Working Paper, Economics Department, Queen's University, number 1510, Jul.
- Pinski, Marc & Hofmann, Thomas & Benlian, Alexander, 2023, "Executive AI Literacy: A Text-Mining Approach to Understand Existing and Demanded AI Skills of Leaders in Unicorn Firms," 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 139226.
- Felix Chopra & Ingar Haaland, 2023, "Conducting qualitative interviews with AI," CEBI working paper series, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI), number 23-06, Sep.
- Dunleavy, Patrick & Margetts, Helen, 2023, "Data science, artificial intelligence and the third wave of digital era governance," OSF Preprints, Center for Open Science, number f3rza, Aug, DOI: 10.31219/osf.io/f3rza.
- Lawson,Cina & Koudeka, Morlé & Cardenas Martinez,Ana Lucia & Alberro Encinas,Luis Inaki & Karippacheril, Tina George, 2023, "Novissi Togo - Harnessing Artificial Intelligence to Deliver Shock-Responsive Social Protection," The Social Policy and Labor Discussion Paper Series, The World Bank, number 184975, Sep.
- Bouzid Merouane, 2023, "The future of artificial intelligence in the Arab world The experience of some Arab countries," Post-Print, HAL, number hal-04183436, Jun.
- Yang Li & Yangyang Yu & Haohang Li & Zhi Chen & Khaldoun Khashanah, 2023, "TradingGPT: Multi-Agent System with Layered Memory and Distinct Characters for Enhanced Financial Trading Performance," Papers, arXiv.org, number 2309.03736, Sep.