Socioeconomic Inequality and Digital Literacy in the Age of Artificial Intelligence: Mapping the Greek Divide through the AI Socio-Digital Inequality Framework (ASDIF)
Περίληψη
In light of artificial intelligence (AI) adoption, this study investigates the link between socioeconomic inequality and digital literacy in Greece. Although artificial intelligence is becoming more and more integrated into daily life, its penetration varies across socioeconomic groups, reflecting documented patterns of unequal access and use in digital environments (van Dijk, 2020; Helsper, 2012), therefore producing varied experiences of access, knowledge, and empowerment. Based on qualitative information gathered from doctoral study (removed for blind review), this study investigates how people from various socioeconomic levels view, understand, and engage with AI technologies.
The results show that in artificial intelligence, digital literacy is a kind of social capital influencing involvement in the digital economy rather than only a technological ability. Individuals from higher socioeconomic backgrounds demonstrate more frequent and diversified use of artificial intelligence across both professional and personal contexts.
Individuals from lower socioeconomic backgrounds tend to experience artificial intelligence in more constrained and indirect ways, often through automated or institutional systems (van Deursen & van Dijk, 2019). This imbalance helps to create a layered pattern of technological adoption whereby inequality is maintained rather than lowered.
The study presents the AI Socio-Digital Inequality Framework (ASDIF), which maps people across two main axes: socioeconomic capital and digital literacy, and adds emotional orientation as a third dimension to help understand this phenomenon. The framework helps us to see how perceived control, curiosity, and fear affect our interaction with artificial intelligence in an orderly manner.
The research adds to the body of knowledge by presenting digital literacy as a socially embedded concept and by providing a context-specific examination of Greece, a nation where technological acceptance is influenced by institutional inertia, economic downturn, and cultural attitudes toward technology. The results point out that initiatives tackling not just access but also awareness, trust, and inclusion in artificial intelligence ecosystems are necessary policies.
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