Document Type

Article

Source of Publication

AI and Society

Publication Date

8-4-2026

Abstract

This study examines how users engage with generative AI systems in the presence of perceived technological risks, focusing on the interplay between risk perception, adaptive behavior, and continued use. Drawing on a risk coping perspective, the study conceptualizes generative AI use as an ongoing process in which users evaluate potential informational and privacy-related threats and adjust their practices accordingly. the analysis explores how perceived risks shape user attitudes, coping strategies, and patterns of sustained engagement. Rather than treating risk as a simple deterrent, the findings show that users often respond through adaptive behaviors such as information verification and privacy management, enabling continued use despite recognized limitations. By distinguishing between different forms of perceived risk and user responses, the study advances understanding of how individuals navigate uncertainty in AI-mediated environments. More broadly, the findings illuminate shifting expectations around responsibility, trust, and epistemic labor in everyday interactions with generative AI technologies, with implications for human–AI interaction, digital risk governance, and the sustainability of AI-supported knowledge practices.

ISSN

0951-5666

Publisher

Springer Science and Business Media LLC

Disciplines

Communication

Keywords

Adaptive AI use, AI hallucination, Generative AI risk, Hallucination awareness, Privacy risk, User verification practices

Scopus ID

105046639320

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Hybrid: This publication is openly available in a subscription-based journal/series

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Included in

Communication Commons

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