Abstract:
This study analyzes the technical, economic, and social barriers limiting access to artificial intelligence (AI) in less developed regions. Using a non-experimental, quan...Show MoreMetadata
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.
Published in: 2024 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)
Date of Conference: 12-13 December 2024
Date Added to IEEE Xplore: 05 March 2025
ISBN Information: