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The Emerging Generative Artificial Intelligence Divide in the United States

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arxiv 2404.11988 v3 pith:V7Y6APCR submitted 2024-04-18 cs.AI cs.CY

classification cs.AIcs.CY
keywords generativedividesearchartificialchatgptcountiesdigitaldivides
verification ladder T0 review T1 audit T2 compute T3 formal
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The digital divide refers to disparities in access to and use of digital tooling across social and economic groups. This divide can reinforce marginalization both at the individual level and at the level of places, because persistent economic advantages accrue to places where new technologies are adopted early. To what extent are emerging generative artificial intelligence (AI) tools subject to these social and spatial divides? We leverage a large-scale search query database to characterize U.S. residents' knowledge of a novel generative AI tool, ChatGPT, during its first six months of release. We identify hotspots of higher-than-expected search volumes for ChatGPT in coastal metropolitan areas, while coldspots are evident in the American South, Appalachia, and the Midwest. Nationwide, counties with the highest rates of search have proportionally more educated and more economically advantaged populations, as well as proportionally more technology and finance-sector jobs in comparison with other counties or with the national average. Observed associations with race/ethnicity and urbanicity are attenuated in fully adjusted hierarchical models, but education emerges as the strongest positive predictor of generative AI awareness. In the absence of intervention, early differences in uptake show a potential to reinforce existing spatial and socioeconomic divides.

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  1. Generative AI Practices, Literacy, and Divides: An Empirical Analysis in the Italian Context

    cs.CL 2025-12 unverdicted novelty 4.0 of 10

    Survey of Italian adults finds generative AI adoption and capital-enhancing uses stratified by education, age, tech familiarity, and gender, with AI training as key predictor of purposeful engagement.

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