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Benchmarking practitioner-level trust in ICT: Countering AI-generated content, deepfakes, and disinformation

Author

Listed:
  • Fabio James Petani

    (BSB - Burgundy School of Business (BSB) - ESC Dijon-Bourgogne, CEREN - Centre de Recherche sur les Entreprises - BSB - Burgundy School of Business (BSB) - ESC Dijon-Bourgogne)

  • Fortuna Casoria

    (BSB - Burgundy School of Business (BSB) - ESC Dijon-Bourgogne, CEREN - Centre de Recherche sur les Entreprises - BSB - Burgundy School of Business (BSB) - ESC Dijon-Bourgogne)

  • Allison Wylde
  • Helmi Issa

Abstract

Trusting is central in building our beliefs and securing our futures. At the same time, trust is called for by policy-makers, practitioners and citizens. But, the need for trust gives rise to a conceptual paradox: "We all depend on ICT to fight disinformation — but our dependence makes us vulnerable." This first-cut research aims to find out if there are differences in ‘trusting' between security practitioners and citizens. To address the multiple research methods, data sources and analytical approaches used to study trust, and accounting for the context. This research uses a survey instrument triangulated with in-depth interviews to examine expert-practitioner level trusting. The use-case concerns applying trust in AI and cybersecurity to address disinformation??. The contribution will help practitioners, academics and policy makers through presenting an important benchmark.

Suggested Citation

  • Fabio James Petani & Fortuna Casoria & Allison Wylde & Helmi Issa, 2025. "Benchmarking practitioner-level trust in ICT: Countering AI-generated content, deepfakes, and disinformation," Post-Print hal-05839699, HAL.
    • Handle: RePEc:hal:journl:hal-05839699
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