How large language models can reshape collective intelligence.
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| Title: | How large language models can reshape collective intelligence. |
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| Authors: | Burton JW; Department of Digitalization, Copenhagen Business School, Frederiksberg, Denmark. jb.digi@cbs.dk.; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany. jb.digi@cbs.dk., Lopez-Lopez E; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany., Hechtlinger S; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.; Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany., Rahwan Z; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany., Aeschbach S; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.; Center for Cognitive and Decision Sciences, University of Basel, Basel, Switzerland., Bakker MA; Google DeepMind, London, UK., Becker JA; UCL School of Management, University College London, London, UK., Berditchevskaia A; Centre for Collective Intelligence Design, Nesta, London, UK., Berger J; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.; Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany., Brinkmann L; Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany., Flek L; Bonn-Aachen International Center for Information Technology, University of Bonn, Bonn, Germany.; Lamarr Institute for Machine Learning and Artificial Intelligence, Bonn, Germany., Herzog SM; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany., Huang S; Collective Intelligence Project, San Francisco, CA, USA., Kapoor S; Center for Information Technology Policy, Princeton University, Princeton, NJ, USA.; Department of Computer Science, Princeton University, Princeton, NJ, USA., Narayanan A; Center for Information Technology Policy, Princeton University, Princeton, NJ, USA.; Department of Computer Science, Princeton University, Princeton, NJ, USA., Nussberger AM; Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany., Yasseri T; School of Sociology, University College Dublin, Dublin, Ireland.; Geary Institute for Public Policy, University College Dublin, Dublin, Ireland., Nickl P; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.; Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany., Almaatouq A; Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA., Hahn U; Department of Psychological Sciences, Birkbeck, University of London, London, UK., Kurvers RHJM; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.; Science of Intelligence Excellence Cluster, Technical University Berlin, Berlin, Germany., Leavy S; School of Information and Communication, Insight SFI Research Centre for Data Analytics, University College Dublin, Dublin, Ireland., Rahwan I; Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany., Siddarth D; Collective Intelligence Project, San Francisco, CA, USA.; Oxford Internet Institute, Oxford University, Oxford, UK., Siu A; Deliberative Democracy Lab, Stanford University, Stanford, CA, USA., Woolley AW; Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA, USA., Wulff DU; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.; Center for Cognitive and Decision Sciences, University of Basel, Basel, Switzerland., Hertwig R; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany. |
| Source: | Nature human behaviour [Nat Hum Behav] 2024 Sep; Vol. 8 (9), pp. 1643-1655. Date of Electronic Publication: 2024 Sep 20. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Springer Nature Publishing Country of Publication: England NLM ID: 101697750 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2397-3374 (Electronic) Linking ISSN: 23973374 NLM ISO Abbreviation: Nat Hum Behav Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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