Artificial Intelligence for All: Challenges and Harnessing Opportunities in AI Democratization

This study analyzes the technical, economic, and social barriers limiting access to artificial intelligence (AI) in less developed regions. Using a non-experimental, quantitative approach, methods such as interviews and content analysis are employed to understand perceptions and contexts surrounding AI democratization. The research design does not aim to manipulate variables but rather to analyze existing relationships. Only 30% of countries, mainly in North America, Europe, and parts of Asia, have significant access to advanced technologies, while less than 20% have implemented national AI policies. Barriers include a lack of infrastructure and high costs, restricting AI adoption in underdeveloped areas. Additionally, ethical implications, such as privacy, transparency, and fairness, are highlighted. To democratize AI, it is crucial to include diverse communities in its design and establish policies that promote equitable access.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icmlant63295.2024.00030
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.53
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article

Artificial Intelligence for All: Challenges and Harnessing Opportunities in AI Democratization

María Elena Perdomo, Kézia Victória Galdino de Castro, E. Castillo, M. Cardona et al.
1 citations
Ethics and Social Impacts of AI
0.53
article

Artificial Intelligence for All: Challenges and Harnessing Opportunities in AI Democratization

María Elena Perdomo, Kézia Victória Galdino de Castro, E. Castillo, M. Cardona, Joselyn Alvarado Siwady, Alberto Alonzo
article en
1 citations

Abstract

This study analyzes the technical, economic, and social barriers limiting access to artificial intelligence (AI) in less developed regions. Using a non-experimental, quantitative approach, methods such as interviews and content analysis are employed to understand perceptions and contexts surrounding AI democratization. The research design does not aim to manipulate variables but rather to analyze existing relationships. Only 30% of countries, mainly in North America, Europe, and parts of Asia, have significant access to advanced technologies, while less than 20% have implemented national AI policies. Barriers include a lack of infrastructure and high costs, restricting AI adoption in underdeveloped areas. Additionally, ethical implications, such as privacy, transparency, and fairness, are highlighted. To democratize AI, it is crucial to include diverse communities in its design and establish policies that promote equitable access.

National Autonomous University of Honduras (HN), Central American Technological University (HN), Universidad Don Bosco (SV), Universidad Panamericana (MX)
Reduced inequalities
Openalex Percentile: Top 23%
Ethics and Social Impacts of AI
0.53
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Artificial Intelligence for All: Challenges and Harnessing Opportunities in AI Democratization — María Elena Perdomo, Kézia Victória Galdino de Castro, et al. · (2024) | TGRS Research Map | TGRS