How large language models can reshape collective intelligence.
Autor: | 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. |
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Jazyk: | angličtina |
Zdroj: | Nature human behaviour [Nat Hum Behav] 2024 Sep; Vol. 8 (9), pp. 1643-1655. Date of Electronic Publication: 2024 Sep 20. |
DOI: | 10.1038/s41562-024-01959-9 |
Abstrakt: | Collective intelligence underpins the success of groups, organizations, markets and societies. Through distributed cognition and coordination, collectives can achieve outcomes that exceed the capabilities of individuals-even experts-resulting in improved accuracy and novel capabilities. Often, collective intelligence is supported by information technology, such as online prediction markets that elicit the 'wisdom of crowds', online forums that structure collective deliberation or digital platforms that crowdsource knowledge from the public. Large language models, however, are transforming how information is aggregated, accessed and transmitted online. Here we focus on the unique opportunities and challenges this transformation poses for collective intelligence. We bring together interdisciplinary perspectives from industry and academia to identify potential benefits, risks, policy-relevant considerations and open research questions, culminating in a call for a closer examination of how large language models affect humans' ability to collectively tackle complex problems. (© 2024. Springer Nature Limited.) |
Databáze: | MEDLINE |
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