Your browser doesn't support javascript.
loading
How large language models can reshape collective intelligence.
Burton, Jason W; Lopez-Lopez, Ezequiel; Hechtlinger, Shahar; Rahwan, Zoe; Aeschbach, Samuel; Bakker, Michiel A; Becker, Joshua A; Berditchevskaia, Aleks; Berger, Julian; Brinkmann, Levin; Flek, Lucie; Herzog, Stefan M; Huang, Saffron; Kapoor, Sayash; Narayanan, Arvind; Nussberger, Anne-Marie; Yasseri, Taha; Nickl, Pietro; Almaatouq, Abdullah; Hahn, Ulrike; Kurvers, Ralf H J M; Leavy, Susan; Rahwan, Iyad; Siddarth, Divya; Siu, Alice; Woolley, Anita W; Wulff, Dirk U; Hertwig, Ralph.
Afiliación
  • Burton JW; Department of Digitalization, Copenhagen Business School, Frederiksberg, Denmark. jb.digi@cbs.dk.
  • Lopez-Lopez E; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany. jb.digi@cbs.dk.
  • Hechtlinger S; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
  • Rahwan Z; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
  • Aeschbach S; Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
  • Bakker MA; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
  • Becker JA; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
  • Berditchevskaia A; Center for Cognitive and Decision Sciences, University of Basel, Basel, Switzerland.
  • Berger J; Google DeepMind, London, UK.
  • Brinkmann L; UCL School of Management, University College London, London, UK.
  • Flek L; Centre for Collective Intelligence Design, Nesta, London, UK.
  • Herzog SM; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
  • Huang S; Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
  • Kapoor S; Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany.
  • Narayanan A; Bonn-Aachen International Center for Information Technology, University of Bonn, Bonn, Germany.
  • Nussberger AM; Lamarr Institute for Machine Learning and Artificial Intelligence, Bonn, Germany.
  • Yasseri T; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
  • Nickl P; Collective Intelligence Project, San Francisco, CA, USA.
  • Almaatouq A; Center for Information Technology Policy, Princeton University, Princeton, NJ, USA.
  • Hahn U; Department of Computer Science, Princeton University, Princeton, NJ, USA.
  • Kurvers RHJM; Center for Information Technology Policy, Princeton University, Princeton, NJ, USA.
  • Leavy S; Department of Computer Science, Princeton University, Princeton, NJ, USA.
  • Rahwan I; Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany.
  • Siddarth D; School of Sociology, University College Dublin, Dublin, Ireland.
  • Siu A; Geary Institute for Public Policy, University College Dublin, Dublin, Ireland.
  • Woolley AW; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
  • Wulff DU; Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
  • Hertwig R; Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nat Hum Behav ; 2024 Sep 20.
Article en En | MEDLINE | ID: mdl-39304760
ABSTRACT
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.
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nat Hum Behav Año: 2024 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nat Hum Behav Año: 2024 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Reino Unido