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A call for transdisciplinary trust research in the artificial intelligence era

Author

Listed:
  • Frank Krueger

    (School of Systems Biology)

  • René Riedl

    (University of Applied Sciences Upper Austria & Johannes Kepler University Linz)

  • Jennifer A. Bartz

    (McGill University)

  • Karen S. Cook

    (Stanford University)

  • David Gefen

    (Drexel University)

  • Peter A. Hancock

    (University of Central Florida)

  • Sirkka L. Jarvenpaa

    (University of Texas at Austin)

  • Lydia Krabbendam

    (Vrije Universiteit Amsterdam)

  • Mary R. Lee

    (Veterans Administration Medical Center)

  • Roger C. Mayer

    (NC State University)

  • Alexandra Mislin

    (American University)

  • Gernot R. Müller-Putz

    (Graz University of Technology)

  • Thomas Simpson

    (University of Oxford)

  • Haruto Takagishi

    (Tamagawa University)

  • Paul A. M. Lange

    (Vrije Universiteit Amsterdam)

Abstract

Trust is a cornerstone and enabler of human civilization, determining the very nature of how people interact with each other. The swift integration of artificial intelligence (AI) into daily life poses grand societal challenges and necessitates a reevaluation of trust. Our bibliometric literature review calls for scientists and stakeholders to cross traditional academic boundaries to address emerging and evolving societal challenges arising from AI. We propose a transdisciplinary research framework to understand and bolster trust in AI and address grand challenges in domains as diverse and urgent as misinformation, discrimination, and warfare.

Suggested Citation

  • Frank Krueger & René Riedl & Jennifer A. Bartz & Karen S. Cook & David Gefen & Peter A. Hancock & Sirkka L. Jarvenpaa & Lydia Krabbendam & Mary R. Lee & Roger C. Mayer & Alexandra Mislin & Gernot R. M, 2025. "A call for transdisciplinary trust research in the artificial intelligence era," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-10, December.
  • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05481-9
    DOI: 10.1057/s41599-025-05481-9
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