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Report NEP-AIN-2023-10-30
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:
- Fourberg, Niklas & Marques Magalhaes, Katrin & Wiewiorra, Lukas, 2023, "They Are Among Us: Pricing Behavior of Algorithms in the Field," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done?, International Telecommunications Society (ITS), number 277958.
- Victoria Angelova & Will S. Dobbie & Crystal Yang, 2023, "Algorithmic Recommendations and Human Discretion," NBER Working Papers, National Bureau of Economic Research, Inc, number 31747, Sep.
- Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023, "Artificial Intelligence and Employment: A Look into the Crystal Ball," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2023/34, Oct.
- Giuntella, Osea & König, Johannes & Stella, Luca, 2023, "Artificial Intelligence and Workers' Well-Being," IZA Discussion Papers, IZA Network @ LISER, number 16485, Sep.
- Ege Erdil & Tamay Besiroglu, 2023, "Explosive growth from AI automation: A review of the arguments," Papers, arXiv.org, number 2309.11690, Sep, revised Jul 2024.
- Howell, Bronwyn E. & Potgieter, Petrus H., 2023, "AI-generated lemons: a sour outlook for content producers?," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done?, International Telecommunications Society (ITS), number 277971.
- Howell, Bronwyn E. & Potgieter, Petrus H., 2023, "What do telecommunications policy academics have to fear from GPT-3?," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done?, International Telecommunications Society (ITS), number 277972.
- Hajkowicz, Stefan & Naughtin, Claire & Sanderson, Conrad & Schleiger, Emma & Karimi, Sarvnaz & Bratanova, Alexandra & Bednarz, Tomasz, 2022, "Artificial intelligence for science – adoption trends and future development pathways," MPRA Paper, University Library of Munich, Germany, number 115464, Nov.
- Shahriar Akter & Saida Sultana & Marcello Mariani & Samuel Fosso Wamba & Konstantina Spanaki & Yogesh Dwivedi, 2023, "Advancing algorithmic bias management capabilities in AI-driven marketing analytics research," Post-Print, HAL, number hal-04194438, Oct, DOI: 10.1016/j.indmarman.2023.08.013.
- Thomas Cantens, 2023, "How will the State think with the assistance of ChatGPT? The case of customs as an example of generative artificial intelligence in public administrations," CERDI Working papers, HAL, number hal-04233370, Sep.
- Flavio Calvino & Luca Fontanelli, 2023, "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2023/35, Oct.
- Paul Glasserman & Caden Lin, 2023, "Assessing Look-Ahead Bias in Stock Return Predictions Generated By GPT Sentiment Analysis," Papers, arXiv.org, number 2309.17322, Sep.
- Julian Ashwin & Aditya Chhabra & Vijayendra Rao, 2023, "Using Large Language Models for Qualitative Analysis can Introduce Serious Bias," Papers, arXiv.org, number 2309.17147, Sep, revised Oct 2023.
- Masanori Hirano & Ryosuke Takata & Kiyoshi Izumi, 2023, "PAMS: Platform for Artificial Market Simulations," Papers, arXiv.org, number 2309.10729, Sep.