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Fantastic AI Text Generations and Where to Trust Them: It’s Not Magic, It’s Science!

In: People, Society, and Ethical Challenges of Information Systems

Author

Listed:
  • Lisa Straub

    (Julius-Maximilians-Universität Würzburg)

  • Myriam Schaschek

    (Julius-Maximilians-Universität Würzburg)

  • Christoph Tomitza

    (Julius-Maximilians-Universität Würzburg)

  • Axel Winkelmann

    (Julius-Maximilians-Universität Würzburg)

Abstract

Enter the web application, type in a question, and get a human-like answer in no time. Especially with the advent of ChatGPT, text-generating artificial intelligence permeates daily life. As a result, end-users are trying out new applications bearing risks, such as overconfidence. This research-in-progress paper investigates the main factors affecting end-user perception regarding human-like AI-generated output and corresponding trust. With the overarching goal of appropriate protection by creating a standardized information structure for integration into websites as our artifact, we conduct a structured literature review in the first step to determine what causes overconfidence and the issues that need to be addressed by an appropriate solution. Therefore, we contribute to the broader aim of preventing end users from misinterpreting AI output. Our findings highlight AI literacy, difficulties in detecting misinformation, and a lack of transparency and explainability as critical factors to consider during solution development.

Suggested Citation

  • Lisa Straub & Myriam Schaschek & Christoph Tomitza & Axel Winkelmann, 2026. "Fantastic AI Text Generations and Where to Trust Them: It’s Not Magic, It’s Science!," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), People, Society, and Ethical Challenges of Information Systems, pages 71-79, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08486-6_6
    DOI: 10.1007/978-3-032-08486-6_6
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