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Report NEP-AIN-2025-12-01
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:
- Leonardo Bursztyn & Alex Imas & Rafael Jiménez-Durán & Aaron Leonard & Christopher Roth, 2025, "Social Dynamics of AI Adoption," NBER Working Papers, National Bureau of Economic Research, Inc, number 34488, Nov.
- Priyanka Verma & Balagopal Unnikrishnan, 2025, "When AI Democratizes Exploitation: LLM-Assisted Strategic Manipulation of Fair Division Algorithms," Papers, arXiv.org, number 2511.14722, Nov.
- Brodeur, Abel & Cook, Nikolai & Valenta, David, 2025, "Perceptions of Artificial Intelligence and Environmental Sustainability," IZA Discussion Papers, Institute of Labor Economics (IZA), number 18263, Nov.
- Luca Corazzini & Elisa Deriu & Marco Guerzoni, 2025, "Decision and Gender Biases in Large Language Models: A Behavioral Economic Perspective," Papers, arXiv.org, number 2511.12319, Nov.
- Foucart, Renaud & Zeng, Fanqi & Wang, Shidong, 2025, "The Social Importance of Being Stubborn When an Organization Meets AI," SocArXiv, Center for Open Science, number nfgy3_v1, Nov, DOI: 10.31219/osf.io/nfgy3_v1.
- Gonzalez Vazquez Ignacio & Fernandez Macias Enrique & Wright Sally & Villani Davide, 2025, "Digital Monitoring, Algorithmic Management and the Platformisation of Work in Europe," JRC Research Reports, Joint Research Centre, number JRC143072, Oct.
- Hellsten, Mark & Khanna, Shantanu & Lodefalk, Magnus & Yakymovych, Yaroslav, 2025, "The Effects of Artificial Intelligence on Jobs: Evidence from an AI Subsidy Program," IZA Discussion Papers, Institute of Labor Economics (IZA), number 18267, Nov.
- Storm, Eduard & Gonschor, Myrielle & Schmidt, Marc Justin, 2025, "AI in Demand: How Expertise Shapes its (Early) Impact on Workers," IHS Working Paper Series, Institute for Advanced Studies, number 61, Nov.
- Voraprapa Nakavachara, 2025, "AI and Worker Well-Being: Differential Impacts Across Generational Cohorts and Genders," Papers, arXiv.org, number 2511.11021, Nov.
- Soogand Alavi & Salar Nozari & Andrea Luangrath, 2025, "Cost Transparency of Enterprise AI Adoption," Papers, arXiv.org, number 2511.11761, Nov.
- Marius Müller & Carsten Lausberg, 2025, "Artificial intelligence in real estate valuation and its impact on efficiency and effectiveness," ERES, European Real Estate Society (ERES), number eres2025_216, Jan.
- Arenal, Alberto & Aguado, Juan Miguel & Armuña, Cristina & Ramos, Sergio & Feijóo, Claudio, 2025, "Artificial Intelligence in the Music Streaming Value Chain: Exploring Artists' and Users' Perceptions on Content Creation and Algorithmic Consumption," 33rd European Regional ITS Conference, Edinburgh, 2025: Digital innovation and transformation in uncertain times, International Telecommunications Society (ITS), number 331251.
- Hildebrandt, Mireille, 2025, "Geo-economics, Data Protection and AI," SocArXiv, Center for Open Science, number n95vd_v1, Nov, DOI: 10.31219/osf.io/n95vd_v1.
- Purificato Erasmo & Bili Danai & Jungnickel Robert & Ruiz Serra Victoria & Fabiani Josefina & Abendroth Dias Kulani & Fernandez Llorca David & Gomez Emilia, 2025, "The Role of Artificial Intelligence in Scientific Research," JRC Research Reports, Joint Research Centre, number JRC143482, Oct.
- Iñaki Aldasoro & Ajit Desai, 2025, "Money Talks: AI Agents for Cash Management in Payment Systems," Staff Working Papers, Bank of Canada, number 25-35, Nov, DOI: 10.34989/swp-2025-35.
- Julian Lütticke & Lukas Lautenschlaeger & Wolfgang Schäfers, 2025, "Forecasting U.S. REIT Returns: Leveraging GenAI-Extracted Sentiment," ERES, European Real Estate Society (ERES), number eres2025_242, Jan.
- Daniel Moulton & Larry Santucci & Robyn Smith, 2025, "Combining AI and Established Methods for Historical Document Analysis," Consumer Finance Institute discussion papers, Federal Reserve Bank of Philadelphia, number 25-02, Oct, DOI: 10.21799/frbp.dp.2025.02.
- Fang, Qixiang & Garcia-Bernardo, Javier & van Kesteren, Erik-Jan, 2025, "Using Large Language Models for Text Annotation in Social Science and Humanities: A Hands-On Python/R Tutorial," SocArXiv, Center for Open Science, number v4eq6_v1, Nov, DOI: 10.31219/osf.io/v4eq6_v1.
- White, Jordan, 2025, "Using vision-language models to extract network data from images of system maps," INET Oxford Working Papers, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, number 2025-26, Nov.