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Dataset Information

Development and Validation of Artificial Intelligence Addiction Scale for Researchers: A Methodological Study.


ABSTRACT:

Background

The integration of artificial intelligence (AI) tools into research has brought significant advancements, enhancing efficiency, innovation, and productivity across various academic disciplines. However, alongside these transformative benefits, the growing dependence on AI tools has raised concerns regarding overreliance and the potential for addictive behaviors among researchers. Despite the widespread adoption of AI among the researchers, there remains a notable gap in the availability of validated instruments specifically designed to assess AI addiction within this context.

Objective

To develop a scale to measure AI addiction among researchers and evaluate its psychometric properties.

Design

A methodological design was employed, consisting of two phases:

SUBMITTER: El-Sayed AAI 

PROVIDER: S-EPMC12714078 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature