Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology
Citations
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Cited by:
- Saurabh Amin & Amine Bennouna & Daniel Huttenlocher & Dingwen Kong & Liang Lyu & Asuman Ozdaglar, 2026. "A Bayesian Framework for Human-AI Collaboration: Complementarity and Correlation Neglect," Papers 2602.14331, arXiv.org.
- Fouarge, Didier & Fregin, Marie-Christine & Janssen, Simon & Levels, Mark & Montizaan, Raymond & Özgül, Pelin & Rounding, Nicholas & Stops, Michael, 2025. "How AI-Augmented Training Improves Worker Productivity," IZA Discussion Papers 18224, IZA Network @ LISER.
- Wensu Li & Atin Aboutorabi & Harry Lyu & Kaizhi Qian & Martin Fleming & Brian C. Goehring & Neil Thompson, 2026. "Economics of Human and AI Collaboration: When is Partial Automation More Attractive than Full Automation?," Papers 2603.29121, arXiv.org.
- repec:ces:ceswps:_10666 is not listed on IDEAS
- Martin Baily & David Byrne & Aidan Kane & Paul Soto, 2025. "Generative AI at the Crossroads: Light Bulb, Dynamo, or Microscope?," Papers 2505.14588, arXiv.org, revised Sep 2025.
- Foucart, Renaud & Zeng, Fanqi & Wang, Shidong, 2025. "The Social Importance of Being Stubborn When an Organization Meets AI," SocArXiv nfgy3_v1, Center for Open Science.
- Marie-Pascale Grimon & Christopher Mills, 2025.
"Better Together? A Field Experiment on Human-Algorithm Interaction in Child Protection,"
Papers
2502.08501, arXiv.org, revised Feb 2026.
- Grimon, Marie-Pascale & Mills, Christopher, 2025. "Better Together? A Field Experiment on Human-Algorithm Interaction in Child Protection," SOFI Working Papers in Labour Economics 2/2025, Stockholm University, Swedish Institute for Social Research.
- Obidzinski, Marie & Oytana, Yves, 2024.
"Artificial intelligence, inattention and liability rules,"
International Review of Law and Economics, Elsevier, vol. 79(C).
- Marie Obidzinski & Yves Oytana, 2024. "Artificial intelligence, inattention and liability rules," Working Papers 2024-08, CRESE.
- Marie Obidzinski & Yves Oytana, 2024. "Artificial intelligence, inattention and liability rules," Working Papers AFED 24-06, Association Francaise d'Economie du Droit (AFED).
- Marie Obidzinski & Yves Oytana, 2024. "Artificial intelligence, inattention and liability rules," Working Papers hal-04449143, HAL.
- Marie Obidzinski & Yves Oytana, 2024. "Artificial intelligence, inattention and liability rules," Working Papers hal-04606305, HAL.
- Marie Obidzinski & Yves Oytana, 2024. "Artificial intelligence, inattention and liability rules," Post-Print hal-04633113, HAL.
- Ravi B. Parikh & William J. Ferrell & Anthony Girard & Jenna White & Sophia Fang & Justin E. Bekelman & Marilyn M. Schapira, 2025. "The Impact of Machine Learning Mortality Risk Prediction on Clinician Prognostic Accuracy and Decision Support: A Randomized Vignette Study," Medical Decision Making, , vol. 45(6), pages 690-702, August.
- L. Elisa Celis & Lingxiao Huang & Nisheeth K. Vishnoi, 2025. "A Mathematical Framework for AI-Human Integration in Work," Papers 2505.23432, arXiv.org, revised May 2025.
- Martin Neil Baily & David M. Byrne & Aidan T. Kane & Paul E. Soto, 2025. "Generative AI at the Crossroads: Light Bulb, Dynamo, or Microscope?," Finance and Economics Discussion Series 2025-053, Board of Governors of the Federal Reserve System (U.S.).
- Riccardo Zanardelli, 2025. "Navigating the safe harbor paradox in human-machine systems," Papers 2509.14057, arXiv.org, revised Jan 2026.
- Marie Obidzinski & Yves Oytana, 2025.
"Advisory algorithms, automation bias and liability rules,"
Working Papers
hal-05486321, HAL.
- Marie Obidzinski & Yves Oytana, 2025. "Advisory algorithms, automation bias and liability rules," Working Papers 2025-08, CRESE.
- Yuhao Fu & Nobuyuki Hanaki, 2024.
"Do people rely on ChatGPT more than their peers to detect deepfake news?,"
ISER Discussion Paper
1233r, Institute of Social and Economic Research, The University of Osaka, revised Dec 2024.
- Yuhao Fu & Nobuyuki Hanaki, 2024. "Do people rely on ChatGPT more than their peers to detect deepfake news?," ISER Discussion Paper 1233, Institute of Social and Economic Research, The University of Osaka.
- Andrei Iakovlev & Annie Liang, 2024. "The Value of Context: Human versus Black Box Evaluators," Papers 2402.11157, arXiv.org, revised Jun 2024.
- Tom Suhr & Samira Samadi & Chiara Farronato, 2024. "A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence," Papers 2405.13753, arXiv.org, revised Oct 2024.
- Bouacida, Elias & Foucart, Renaud & Jalloul, Maya, 2025.
"When expert advice fails to reduce the productivity gap: Experimental evidence from chess players,"
Journal of Economic Behavior & Organization, Elsevier, vol. 236(C).
- Elias Bouacida & Renaud Foucart & Maya Jalloul, 2025. "When Expert Advice Fails to Reduce the Productivity Gap: Experimental Evidence from Chess Players," Working Papers halshs-04453028, HAL.
- R. Maria del Rio-Chanona & Ekkehard Ernst & Rossana Merola & Daniel Samaan & Ole Teutloff, 2025. "AI and jobs. A review of theory, estimates, and evidence," Papers 2509.15265, arXiv.org.
- Felix Chopra & Ingar Haaland, 2023. "Conducting qualitative interviews with AI," CEBI working paper series 23-06, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
- Hanzhe Li & Jin Li & Ye Luo & Xiaowei Zhang, 2024. "Attribution and Persuasion: The Paradox of Interpretable AI," Papers 2410.01114, arXiv.org, revised Jul 2026.
- David Almog & Romain Gauriot & Lionel Page & Daniel Martin, 2024. "AI Oversight and Human Mistakes: Evidence from Centre Court," Papers 2401.16754, arXiv.org, revised Feb 2025.
- Caplin, Andrew & Martin, Daniel & Marx, Philip, 2025.
"Modeling machine learning: A cognitive economic approach,"
Journal of Economic Theory, Elsevier, vol. 224(C).
- Andrew Caplin & Daniel J. Martin & Philip Marx, 2022. "Modeling Machine Learning: A Cognitive Economic Approach," NBER Working Papers 30600, National Bureau of Economic Research, Inc.
- Walter, Johannes & Biermann, Jan & Horton, John, 2024. "Advised by an Algorithm: Learning with Different Informational Resources," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302407, Verein für Socialpolitik / German Economic Association.
- Huelden, Tobias & Jascisens, Vitalijs & Roemheld, Lars & Werner, Tobias, 2024. "Human-machine interactions in pricing: Evidence from two large-scale field experiments," DICE Discussion Papers 412, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Michele Fioretti & Junnan He & Jorge Tamayo, 2024.
"Capacity, Technology Portfolios, and the Paradox of Concentration,"
Papers
2407.03504, arXiv.org, revised Jun 2026.
- Fioretti, Michele & He, Junnan & Tamayo, Jorge, 2026. "Capacity, Technology Portfolios, and the Paradox of Concentration," CEPR Discussion Papers 21607, Centre for Economic Policy Research.
- Daniele Caliari & Valentino Dardanoni & Carla Guerriero & Paola Manzini & Marco Mariotti, 2026. "Exploring Choice Errors in Children," Bristol Economics Discussion Papers 26/823, School of Economics, University of Bristol, UK.
- Lingxiao Huang & Wenyang Xiao & Nisheeth K. Vishnoi, 2026. "Delegation and Verification Under AI," Papers 2603.02961, arXiv.org, revised Jun 2026.
- Lingxiao Huang & Wenyang Xiao & Nisheeth K. Vishnoi, 2026. "Delegation and Verification Under AI," Cowles Foundation Discussion Papers 2500, Cowles Foundation for Research in Economics, Yale University.
- Ali Merali, 2025. "Scaling Laws for Economic Productivity: Experimental Evidence in LLM-Assisted Consulting, Data Analyst, and Management Tasks," Papers 2512.21316, arXiv.org.
- Yang, Nanyin & Palma, Marco & Drichoutis, Andreas C., 2023. "Humanization of Virtual Assistants and Delegation Choices," MPRA Paper 119275, University Library of Munich, Germany.
- Jingyi Cui & Gabriel Dias & Justin Ye, 2025. "Signaling in the Age of AI: Evidence from Cover Letters," Papers 2509.25054, arXiv.org, revised Nov 2025.
- Lagziel, David & Tsodikovich, Yevgeny, 2025. "Working with AI: An analysis for rational integration," Games and Economic Behavior, Elsevier, vol. 153(C), pages 254-267.
- Joshua S. Gans, 2026.
"Optimal Use of Preferences in Artificial Intelligence Algorithms,"
NBER Working Papers
34780, National Bureau of Economic Research, Inc.
- Joshua S. Gans, 2026. "Optimal Use of Preferences in Artificial Intelligence Algorithms," Papers 2601.18732, arXiv.org.
- Marr, Jeffrey, 2025. "Algorithmic decision-making in health care: Evidence from post-acute care in Medicare Advantage," Journal of Health Economics, Elsevier, vol. 104(C).
- Hannes Ullrich & Michael Allan Ribers, 2023. "Machine predictions and human decisions with variation in payoffs and skill: the case of antibiotic prescribing," Berlin School of Economics Discussion Papers 0027, Berlin School of Economics.
- Chen, Qin & Ge, Jinfeng & Xie, Huaqing & Xu, Xingcheng & Yang, Yanqing, 2025. "Large language models at work in China’s labor market," China Economic Review, Elsevier, vol. 92(C).
Printed from https://ideas.repec.org/r/nbr/nberwo/31422.html