Abstract
As artificial intelligence (AI) increasingly shapes our world, the AI divide, comprising access, skills, and outcomes, becomes a critical issue. The AI divide encompasses disparities in access, skills, and ethical outcomes related to AI technology. This paper employs a socio-technical framework to comprehensively understand and address the multifaceted challenge of the AI divide. A systematic literature review was conducted, analysing 46 studies that examined various aspects of the AI divide. Three levels of the AI divide emerged: access, skills, and outcomes. Geographical disparities, algorithmic literacy, digital skills, and algorithmic bias were identified as key factors influencing the AI divide. Accessible AI technology, digital and algorithmic literacy, unbiased AI outcomes, and effective regulation are essential for a more equitable AI landscape. We conclude that a socio-technical approach is crucial for bridging the AI divide, ensuring that the benefits of AI are accessible to all in our rapidly evolving technological landscape.
Recommended Citation
Mohammed, Aishatu Lawan; Kutar, Maria; and Albakri, Mohammed, "Conceptualising the Artificial Intelligence Divide: A Systematic Literature Review and Research Agenda" (2024). UK Academy for Information Systems Conference Proceedings 2024. 14.
https://aisel.aisnet.org/ukais2024/14