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Research can help to tackle AI-generated disinformation

Author

Listed:
  • Stefan Feuerriegel

    (LMU Munich
    Munich Center for Machine Learning (MCML))

  • Renée DiResta

    (Stanford University)

  • Josh A. Goldstein

    (Georgetown University)

  • Srijan Kumar

    (College of Computing at Georgia Institute of Technology)

  • Philipp Lorenz-Spreen

    (Max Planck Institute for Human Development)

  • Michael Tomz

    (Stanford University
    Stanford University)

  • Nicolas Pröllochs

    (JLU Giessen)

Abstract

Generative artificial intelligence (AI) tools have made it easy to create realistic disinformation that is hard to detect by humans and may undermine public trust. Some approaches used for assessing the reliability of online information may no longer work in the AI age. We offer suggestions for how research can help to tackle the threats of AI-generated disinformation.

Suggested Citation

  • Stefan Feuerriegel & Renée DiResta & Josh A. Goldstein & Srijan Kumar & Philipp Lorenz-Spreen & Michael Tomz & Nicolas Pröllochs, 2023. "Research can help to tackle AI-generated disinformation," Nature Human Behaviour, Nature, vol. 7(11), pages 1818-1821, November.
    • Handle: RePEc:nat:nathum:v:7:y:2023:i:11:d:10.1038_s41562-023-01726-2
    DOI: 10.1038/s41562-023-01726-2
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