Generative Artificial Intelligence (GAI) Divide: An Empirical Examination of the Micro–Macro Factors that Predict GAI Knowledge and Use

Abstract

Generative artificial intelligence (GAI), a branch of AI capable of generating new content from human input has the potential to impact every aspect of our society. However, as with any emerging technology, the benefits and detriments of GAI may not be evenly distributed, leading to digital inequality. Aspects like AI access, effectively usage, and usage outcomes could define this emerging and evolving GAI divide. To fill the current research gap on GAI inequality, this study aims to empirically explore the factors that may contribute to a GAI divide to ensure that the benefits of this technology are distributed equitably throughout society. To address these challenges, An online survey will be conducted to examine both macro‐ and micro‐level factors that may potentially proliferate and ameliorate the GAI divide.