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

Lisa Straub (), Myriam Schaschek (), Christoph Tomitza () and Axel Winkelmann ()
Additional contact information
Lisa Straub: Julius-Maximilians-Universität Würzburg
Myriam Schaschek: Julius-Maximilians-Universität Würzburg
Christoph Tomitza: Julius-Maximilians-Universität Würzburg
Axel Winkelmann: Julius-Maximilians-Universität Würzburg

A chapter in People, Society, and Ethical Challenges of Information Systems, 2026, pp 71-79 from Springer

Abstract: 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.

Keywords: Overtrust; Generative artificial intelligence; Misinformation; Transparency; AI (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-08486-6_6

Ordering information: This item can be ordered from
http://www.springer.com/9783032084866

DOI: 10.1007/978-3-032-08486-6_6

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().