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Risks and protective measures for synthetic relationships

Author

Listed:
  • Christopher Starke

    (University of Amsterdam)

  • Alfio Ventura

    (University of Duisburg-Essen)

  • Clara Bersch

    (Max Planck Institute for Human Development
    Max Planck School of Cognition)

  • Meeyoung Cha

    (Max Planck Institute For Security and Privacy
    Korea Advanced Institute of Science and Technology (KAIST))

  • Claes Vreese

    (University of Amsterdam)

  • Philipp Doebler

    (TU Dortmund University)

  • Mengchen Dong

    (Max Planck Institute for Human Development)

  • Nicole Krämer

    (University of Duisburg-Essen)

  • Margarita Leib

    (Tilburg University)

  • Jochen Peter

    (University of Amsterdam)

  • Lea Schäfer

    (CCM)

  • Ivan Soraperra

    (Max Planck Institute for Human Development)

  • Jessica Szczuka

    (University of Duisburg-Essen)

  • Erik Tuchtfeld

    (Max Planck Institute for Comparative Public Law and International Law)

  • Rebecca Wald

    (University of Amsterdam)

  • Nils Köbis

    (University of Duisburg-Essen
    Max Planck Institute for Human Development)

Abstract

As artificial intelligence tools become more sophisticated, humans build synthetic relationships with them. Synthetic relationships differ fundamentally from traditional human–machine interactions and present new risks, such as privacy breaches, psychological manipulation and the erosion of human autonomy. This necessitates proactive, human-centred policies.

Suggested Citation

  • Christopher Starke & Alfio Ventura & Clara Bersch & Meeyoung Cha & Claes Vreese & Philipp Doebler & Mengchen Dong & Nicole Krämer & Margarita Leib & Jochen Peter & Lea Schäfer & Ivan Soraperra & Jessi, 2024. "Risks and protective measures for synthetic relationships," Nature Human Behaviour, Nature, vol. 8(10), pages 1834-1836, October.
    • Handle: RePEc:nat:nathum:v:8:y:2024:i:10:d:10.1038_s41562-024-02005-4
    DOI: 10.1038/s41562-024-02005-4
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